☆ 4.6 Review

The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review

JOURNAL OF BIOMEDICAL INFORMATICS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Environmental Sciences

Evaluation of a semi-automated data extraction tool for public health literature-based reviews: Dextr

Vickie R. Walker et al.

Summary: The research team developed a flexible, web-based semi-automated data extraction tool called Dextr, successfully addressing data extraction challenges in environmental health literature reviews. By integrating key features such as user verification and entity connecting, the Dextr tool significantly reduces data extraction time while maintaining recall and precision rates similar to manual extraction.

ENVIRONMENT INTERNATIONAL (2022)

添加到收藏夹

Article Anesthesiology

Evaluation of language analysis to summarize the literature: a comparison to traditional meta-analysis in primary hip and knee surgery

Joshua Myszewski et al.

Summary: Applying sentiment analysis to medical literature can rapidly evaluate large collections of published data and generate an impression of overall findings that are aligned with the conclusions of a traditional meta-analysis.

REGIONAL ANESTHESIA AND PAIN MEDICINE (2022)

添加到收藏夹

Review Mathematical & Computational Biology

Using artificial intelligence methods for systematic review in health sciences: A systematic review

Aymeric Blaizot et al.

Summary: This review explores the use of automated tools and platforms employing artificial intelligence (AI) approaches in literature review, assessing their benefits and challenges. The findings indicate that AI platforms have achieved varying degrees of success in enhancing efficiency and quality in evidence synthesis, but further evaluation is needed to determine their overall contribution.

RESEARCH SYNTHESIS METHODS (2022)

添加到收藏夹

Review Mathematical & Computational Biology

Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid review

Ashley Elizabeth Muller et al.

Summary: The study evaluated the utility of an automated clustering method in categorizing studies, finding that automated clustering had higher precision and recall compared to manual categorization, and also saved 49% more time. The clustering algorithm was sensitive enough to group studies based on linguistic differences, corresponding to manual categories.

RESEARCH SYNTHESIS METHODS (2022)

添加到收藏夹

Article Mathematical & Computational Biology

Applying machine classifiers to update searches: Analysis from two case studies

Claire Stansfield et al.

Summary: The study shows that using machine classifiers can reduce the workload of manually screening citation records and save significant time. Classifier performance varies depending on the training data used, but high recall and substantial screening reduction can be achieved. Machine classifiers have great potential in handling update searches of public health research.

RESEARCH SYNTHESIS METHODS (2022)

添加到收藏夹

Article Medicine, General & Internal

Machine learning reduced workload for the Cochrane COVID-19 Study Register: development and evaluation of the Cochrane COVID-19 Study Classifier

Ian Shemilt et al.

Summary: This study developed a machine learning classifier to reduce workload in maintaining the Cochrane COVID-19 Study Register, and it showed low risk of missing eligible studies. The classifier has been deployed in the live study identification workflow.

SYSTEMATIC REVIEWS (2022)

添加到收藏夹

Article Medicine, General & Internal

Accuracy and Efficiency of Machine Learning-Assisted Risk-of-Bias Assessments in Real-World Systematic Reviews A Noninferiority Randomized Controlled Trial

Anneliese Arno et al.

Summary: The study aimed to compare the accuracy and efficiency of risk-of-bias assessments conducted with RobotReviewer assistance to those conducted without RobotReviewer. The results showed that in health-related systematic reviews, RobotReviewer-assisted risk-of-bias assessments are noninferior in accuracy to assessments conducted without RobotReviewer. However, the results for time efficiency were inconclusive.

ANNALS OF INTERNAL MEDICINE (2022)

添加到收藏夹

Article Pharmacology & Pharmacy

Feasibility study and evaluation of expert opinion on the semi-automated meta-analysis and the conventional meta-analysis

Priscilla Ajiji et al.

Summary: The study assessed the feasibility and acceptance of semi-automated meta-analysis (SAMA) and compared it to conventional meta-analysis (CMA) in terms of quality and time efficiency. The results showed no significant differences in quality and expert confidence between SAMA and CMA, but SAMA had a shorter completion time.

EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY (2022)

添加到收藏夹

Article Health Care Sciences & Services

A text-mining tool generated title-abstract screening workload savings: performance evaluation versus single-human screening

Niamh Carey et al.

Summary: This study evaluated the performance of Abstrackr's text-mining functions compared to single-human screening and found that Abstrackr can reduce workload burden without omitting relevant citations, although it may overestimate citation relevance, which could have negative implications for full-text screening.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2022)

添加到收藏夹

Review Health Care Sciences & Services

Tools to support the automation of systematic reviews: a scoping review

Hanan Khalil et al.

Summary: This scoping review identified tools with potential for automating systematic reviews, while also highlighting their limitations. It emphasized the importance of developing methods for semi-automating evidence synthesis and transitioning to professionally maintained platforms.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2022)

添加到收藏夹

Article Health Care Sciences & Services

Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system

Patricia Sofia Jacobsen Jardim et al.

Summary: This study aimed to assess the feasibility of using RobotReviewer for automated risk of bias assessment, and the results showed that it was as accurate as human assessment, but there were differences in acceptability among researchers. Some less experienced reviewers were positive towards the tool, while others emphasized the importance of human input and interaction.

BMC MEDICAL RESEARCH METHODOLOGY (2022)

添加到收藏夹

Review Food Science & Technology

Automatic classification of literature in systematic reviews on food safety using machine learning

Leonieke M. van den Bulk et al.

Summary: Systematic reviews are an important method used in researching food safety topics. However, they can be time-consuming and require expert knowledge. This study aims to reduce the time needed by using machine learning techniques to automatically classify relevant articles. The results show that this approach can save experts time while maintaining the quality of the review.

CURRENT RESEARCH IN FOOD SCIENCE (2022)

添加到收藏夹

Article Humanities, Multidisciplinary

A Golden Decade of Deep Learning: Computing Systems & Applications

Jeffrey Dean

Summary: The past decade has witnessed significant advancements in the field of artificial intelligence due to the resurgence of neural networks through deep learning. This has greatly enhanced computers' ability to perceive, listen, and comprehend the surrounding world, leading to remarkable applications in various scientific and other domains.

DAEDALUS (2022)

添加到收藏夹

Letter Dermatology

Comparison of artificial intelligence with a conventional search in dermatology: A case study of systematic review of apremilast in hidradenitis suppurativa performed by both methods

Subuhi Kaul et al.

INDIAN DERMATOLOGY ONLINE JOURNAL (2022)

添加到收藏夹

Review Biochemical Research Methods

Recent advances in biomedical literature mining

Sendong Zhao et al.

Summary: In recent years, there has been a rapid increase in scientific articles in the biomedical domain, leading to a high demand for biomedical literature mining techniques. Efforts from both the BMI and CS communities have focused on developing more interpretable and descriptive methods in the BMI community, while the CS community has been more focused on superior performance and generalization ability, leading to the development of more sophisticated and universal models. A review of recent advances in BLM from both communities aims to inspire new research directions.

BRIEFINGS IN BIOINFORMATICS (2021)

添加到收藏夹

Article Medicine, General & Internal

Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow

Ba Pham et al.

Summary: A semi-automated workflow was developed for abstract screening in systematic reviews using text mining and machine learning methods, achieving high efficiency and accuracy. The workflow demonstrated good performance in practice, effectively reducing workload and improving review efficiency.

SYSTEMATIC REVIEWS (2021)

添加到收藏夹

Article Health Care Sciences & Services

Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service

Anna Noel-Storr et al.

Summary: This study assessed the feasibility of using machine learning and crowdsourcing to identify studies for potential inclusion in a systematic review, finding that crowd screening can be accurate as long as the agreement algorithm is robust.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

添加到收藏夹

Article Health Care Sciences & Services

COVID-19-related medical research: a meta-research and critical appraisal

Marc Raynaud et al.

Summary: This study reviewed and categorized a large number of medical research related to COVID-19, finding that the majority of research consists of publications without original data, while peer-reviewed original articles with data showed a high risk of bias and included a limited number of patients.

BMC MEDICAL RESEARCH METHODOLOGY (2021)

添加到收藏夹

Article Health Care Sciences & Services

Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses

Candyce Hamel et al.

Summary: This study retrospectively evaluated the implementation and performance of artificial intelligence and AML in ten historically completed systematic reviews. Based on the encountered barriers and developed recommendations, a seven-step framework was developed to guide research teams in integrating AML into the title and abstract screening process, emphasizing the importance of transparent reporting for future studies.

BMC MEDICAL RESEARCH METHODOLOGY (2021)

添加到收藏夹

Article Public, Environmental & Occupational Health

Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews

Xuan Qin et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

添加到收藏夹

Review Health Care Sciences & Services

Systematic review automation tools improve efficiency but lack of knowledge impedes their adoption: a survey

Anna Mae Scott et al.

Summary: The survey found that the majority of respondents have used systematic review automation tools, primarily during the screening stage. They believed these tools saved time and increased accuracy, but lack of knowledge was identified as the main barrier to tool adoption. Respondents suggested the development of new tools for the searching and data extraction stages.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

添加到收藏夹

Article Mathematical & Computational Biology

A rule-based approach for automatically extracting data from systematic reviews and their updates to model the risk of conclusion change

Rabia Bashir et al.

Summary: This study developed a rule-based approach to automatically extract information from reviews and updates to predict the risk of conclusion change, comparing the performance of random forest, decision tree, and logistic regression models. The coverage score was found to be the most useful feature for predicting conclusion change risk, while other features mined from Cochrane reviews and updates can also estimate this risk.

RESEARCH SYNTHESIS METHODS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Enhancing evidence-based medicine with natural language argumentative analysis of clinical trials

Tobias Mayer et al.

Summary: The paper presents a new end-to-end pipeline for argumentative outcome analysis on clinical trials, showing that the proposed method achieved good performance in component detection and outcome classification through experiments.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2021)

添加到收藏夹

Article Medical Informatics

A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine

Leonardo Campillos-Llanos et al.

Summary: The study collected and annotated a dataset of Spanish clinical trial texts for improving information retrieval systems related to Evidence-Based Medicine research. The results show that this resource is suitable for experiments with state-of-the-art approaches to biomedical named entity recognition.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2021)

添加到收藏夹

Article Health Care Sciences & Services

5335 days of Implementation Science: using natural language processing to examine publication trends and topics

Jonathan P. Scaccia et al.

Summary: Using NLP to analyze a large number of Implementation Science abstracts revealed key topic clusters and trends over time. The study demonstrated the usefulness of NLP in research synthesis, showing changes in topic prominence and coherence over time. The findings suggest that systematic reviews are becoming more prominent, while articles related to knowledge translation are decreasing in prominence.

IMPLEMENTATION SCIENCE (2021)

添加到收藏夹

Editorial Material Rheumatology

Can we use artificial intelligence for systematic literature review in rheumatology?

Nathan Foulquier et al.

JOINT BONE SPINE (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

TransforMED: End-to-End Transformers for Evidence-Based Medicine and Argument Mining in medical literature

Nikolaos Stylianou et al.

Summary: Argument Mining is the automatic identification of arguments in text, while Evidence-Based Medicine involves identifying related evidence in medical literature. Combining the two fields enhances performance to create high quality argument graphs annotated with PICO entities, allowing for the identification of arguments, PICO entities, and their relations in medical publications.

JOURNAL OF BIOMEDICAL INFORMATICS (2021)

添加到收藏夹

Letter Health Care Sciences & Services

Artificial intelligence in systematic literature reviews: a case for cautious optimism

Saifuddin Kharawala et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

添加到收藏夹

Article Health Care Sciences & Services

Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study

Uddhav Vaghela et al.

Summary: The project aims to build a real-time, generic curation platform to support data synthesis and analysis of COVID-19-related medical literature, with the objective of validating the platform and methodology.

JOURNAL OF MEDICAL INTERNET RESEARCH (2021)

添加到收藏夹

Review Medicine, General & Internal

srBERT: automatic article classification model for systematic review using BERT

Sungmin Aum et al.

Summary: The study automated the classification of included articles using the BERT algorithm, achieving superior performance and comparing the performance of various models; results showed that the model achieved state-of-the-art performance in classification and relation-extraction tasks.

SYSTEMATIC REVIEWS (2021)

添加到收藏夹

Review Information Science & Library Science

Using an artificial intelligence tool can be as accurate as human assessors in level one screening for a systematic review

Joseph K. Burns et al.

Summary: The study found that within a specific confidence threshold range, DistillerAI performed very similarly to human assessors in article selection, with a sensitivity of 1.0 and specificity ranging from 0.9 to 1.0.

HEALTH INFORMATION AND LIBRARIES JOURNAL (2021)

添加到收藏夹

Article Medicine, General & Internal

Iterative guided machine learning-assisted systematic literature reviews: a diabetes case study

John Zimmerman et al.

Summary: The article discusses an approach that utilizes existing examples of SRs to develop and test a method for assisting the SR title and abstract pre-screening by reducing the initial pool of potential articles down to those that meet inclusion criteria. This approach differs from previous uses of ML in SR in that it incorporates ML configurations guided by previously conducted SRs and human confirmation on ML predictions of relevant articles during iterative reviews. The study shows promising results in achieving high sensitivity in finding relevant articles while reducing the human review workload.

SYSTEMATIC REVIEWS (2021)

添加到收藏夹

Review Medicine, General & Internal

Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews

Kevin E. K. Chai et al.

Summary: The use of Research Screener, a semi-automated machine learning tool, has been shown to significantly reduce the burden of screening titles and abstracts in systematic reviews, saving time and cost. Through simulation and real-world examples, the tool can provide workload savings of 60% to 96%, as well as substantial time and financial benefits.

SYSTEMATIC REVIEWS (2021)

添加到收藏夹

Article Health Care Sciences & Services

Creating efficiencies in the extraction of data from randomized trials: a prospective evaluation of a machine learning and text mining tool

Allison Gates et al.

Summary: The study evaluated a machine learning tool for data extraction from randomized trials, finding it performed well in identifying reported data elements and extracting relevant sentences, leading to modest time savings. However, the accuracy of exact matches was low, indicating a need for further improvement.

BMC MEDICAL RESEARCH METHODOLOGY (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Are study selection software packages effective in supporting medical systematic reviews?: A systematic review

Hibah Alshaya et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)

添加到收藏夹

Article Mathematical & Computational Biology

Training sample selection: Impact on screening automation in diagnostic test accuracy reviews

Allard J. van Altena et al.

Summary: This paper introduces an approach to select data for model training and compares it with established methods using 50 Cochrane diagnostic test accuracy reviews. The study suggests that models perform best with a larger number of reviews in the training set and when the research subject of the target review is similar to other reviews in the dataset.

RESEARCH SYNTHESIS METHODS (2021)

添加到收藏夹

Review Medical Informatics

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Wael Abdelkader et al.

Summary: Machine learning approaches demonstrate good performance in retrieving high-quality clinical studies, achieving high sensitivity and precision levels. The study shows that supervised machine learning methods have been applied with high-quality standards during model training.

JMIR MEDICAL INFORMATICS (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review

Thomas Bozada et al.

Summary: Well-curated datasets are crucial for evidence-based decision making and AI integration across disciplines. Sysrev was developed to address the issues of siloed, unstructured, and inaccessible data, using FAIR principles in design. It provides a platform for systematic evidence reviews and data curation projects, aiming to reduce redundancy and improve the efficiency of decision making.

FRONTIERS IN ARTIFICIAL INTELLIGENCE (2021)

添加到收藏夹

Review Computer Science, Information Systems

A systematic review of automatic text summarization for biomedical literature and EHRs

Mengqian Wang et al.

Summary: Biomedical text summarization helps to prevent information overload by reducing the length of documents, with current focus primarily on summarizing literature, while there is a growing trend in research on summarizing electronic health records.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2021)

添加到收藏夹

Article Health Care Sciences & Services

Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

James Thomas et al.

Summary: The study developed a machine learning classifier to reduce study identification workload in Cochrane for producing systematic reviews. The calibrated classifier showed high recall in evaluation, with older records more likely to be missed compared to newer records.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2021)

添加到收藏夹

Article Medicine, General & Internal

Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence

Jon Brassey et al.

Summary: Evidence synthesis is essential for evidence-based medicine, but it currently faces challenges such as labor intensiveness and outdated information. To address this, techniques like automation technology, machine learning and natural language processing are being explored to develop a fully automated evidence synthesis system for intervention studies. This system aims to identify, assess and collate relevant evidence to estimate the effectiveness of interventions, providing a real-time evidence mapping tool.

BMJ EVIDENCE-BASED MEDICINE (2021)

添加到收藏夹

Article Public, Environmental & Occupational Health

Evaluation of text mining to reduce screening workload for injury-focused systematic reviews

Melita J. Giummarra et al.

INJURY PREVENTION (2020)

添加到收藏夹

Review Rheumatology

Can artificial intelligence replace manual search for systematic literature? Review on cutaneous manifestations in primary Sjogren's syndrome

Laure Orgeolet et al.

RHEUMATOLOGY (2020)

添加到收藏夹

Article Biochemical Research Methods

Advancing PICO element detection in biomedical text via deep neural networks

Di Jin et al.

BIOINFORMATICS (2020)

添加到收藏夹

Article Environmental Sciences

SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation

Brian E. Howard et al.

ENVIRONMENT INTERNATIONAL (2020)

添加到收藏夹

Article Mathematical & Computational Biology

Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials

Susan Armijo-Olivo et al.

RESEARCH SYNTHESIS METHODS (2020)

添加到收藏夹

Review Obstetrics & Gynecology

Artificial intelligence and automation of systematic reviews in women's health

Carmen Amezcua-Prieto et al.

CURRENT OPINION IN OBSTETRICS & GYNECOLOGY (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

EBM plus : Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature

Nikolaos Stylianou et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)

添加到收藏夹

Article Biochemistry & Molecular Biology

A bird's-eye view of deep learning in bioimage analysis

Erik Meijering

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)

添加到收藏夹

Article Health Care Sciences & Services

An evaluation of DistillerSR's machine learning-based prioritization tool for title/abstract screening - impact on reviewer-relevant outcomes

C. Hamel et al.

BMC MEDICAL RESEARCH METHODOLOGY (2020)

添加到收藏夹

Article Neurosciences

Toward automatic evaluation of medical abstracts: The current value of sentiment analysis and machine learning for classification of the importance of PubMed abstracts of randomized trials for stroke

Igor Fischer et al.

JOURNAL OF STROKE & CEREBROVASCULAR DISEASES (2020)

添加到收藏夹

Article Computer Science, Information Systems

Trialstreamer: A living, automatically updated database of clinical trial reports

Iain J. Marshall et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)

添加到收藏夹

Article Computer Science, Information Systems

Aceso: PICO-Guided Evidence Summarization on Medical Literature

Xiang Zhang et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)

添加到收藏夹

Article Medicine, General & Internal

Development and Validation of a Natural Language Processing Tool to Generate the CONSORT Reporting Checklist for Randomized Clinical Trials

Fan Wang et al.

JAMA NETWORK OPEN (2020)

添加到收藏夹

Article Health Care Sciences & Services

Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study

Tomohide Yamada et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2020)

添加到收藏夹

Article Medicine, General & Internal

Statistical stopping criteria for automated screening in systematic reviews

Max W. Callaghan et al.

SYSTEMATIC REVIEWS (2020)

添加到收藏夹

Article Medicine, General & Internal

Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews

E. Popoff et al.

SYSTEMATIC REVIEWS (2020)

添加到收藏夹

Article Medicine, General & Internal

Decoding semi-automated title-abstract screening: findings from a convenience sample of reviews

Allison Gates et al.

SYSTEMATIC REVIEWS (2020)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

APS: An Active PubMed Search System for Technology Assisted Reviews

Dan Li et al.

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (2020)

添加到收藏夹

Proceedings Paper Biochemical Research Methods

Star-BiLSTM-LAN for Document-level Mutation-Disease Relation Extraction from Biomedical Literature

Yuan Xu et al.

2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (2020)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

TopiQAL: Topic-aware Question Answering using Scalable Domain-specific Supercomputers

Hamsa Shwetha Venkataram et al.

PROCEEDINGS OF 2020 IEEE/ACM 5TH WORKSHOP ON DEEP LEARNING ON SUPERCOMPUTERS (DLS 2020) (2020)

添加到收藏夹

Article Health Care Sciences & Services

Predictive article recommendation using natural language processing and machine learning to support evidence updates in domain-specific knowledge graphs

Bhuvan Sharma et al.

JAMIA OPEN (2020)

添加到收藏夹

Article Multidisciplinary Sciences

A clustering approach for topic filtering within systematic literature reviews

Tim Weisser et al.

METHODSX (2020)

添加到收藏夹

Proceedings Paper Computer Science, Hardware & Architecture

Named Entity Recognition in Spanish Biomedical Literature: Short Review and Bert Model

Liliya Akhtyamova

PROCEEDINGS OF THE 26TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION FRUCT (2020)

添加到收藏夹

Article Medicine, General & Internal

Machine learning for screening prioritization in systematic reviews: comparative performance of Abstrackr and EPPI-Reviewer

Amy Y. Tsou et al.

SYSTEMATIC REVIEWS (2020)

添加到收藏夹

Article Medicine, Research & Experimental

Use of Artificial Intelligence for Medical Literature Search: Randomized Controlled Trial Using the Hackathon Format

Dominik Schoeb et al.

INTERACTIVE JOURNAL OF MEDICAL RESEARCH (2020)

添加到收藏夹

Article Psychology, Clinical

Semi-Automated evidence synthesis in health psychology: current methods and future prospects

Iain J. Marshall et al.

HEALTH PSYCHOLOGY REVIEW (2020)

添加到收藏夹

Review Ophthalmology

The current state of artificial intelligence in ophthalmology

Rahul Kapoor et al.

SURVEY OF OPHTHALMOLOGY (2019)

添加到收藏夹

Article Medical Informatics

Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study

Frank Soboczenski et al.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)

添加到收藏夹

Article Health Care Sciences & Services

Automatic screening using word embeddings achieved high sensitivity and workload reduction for updating living network meta-analyses

Ivan Lerner et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2019)

添加到收藏夹

Review Health Care Sciences & Services

The risk of conclusion change in systematic review updates can be estimated by learning from a database of published examples

Rabia Bashir et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2019)

添加到收藏夹

Meeting Abstract Economics

PRAGMATIC ARTIFICIAL INTELLIGENCE-BASED REFERENCE SCREENING IN SYSTEMATIC REVEIWS. ARE TWO ROBOTS BETTER THAN ONE?

J. Tetzlaff et al.

VALUE IN HEALTH (2019)

添加到收藏夹

Meeting Abstract Economics

HOW DOES MACHINE-LEARNING COMPARE TO AN INCOMING MEDICAL STUDENT IN EXTRACTING OUTCOMES RESULTS FROM ABSTRACTS?

M. Michelson et al.

VALUE IN HEALTH (2019)

添加到收藏夹

Meeting Abstract Economics

LEVERAGING MACHINE-ASSISTANCE TO REPLICATE A SYSTEMATIC REVIEW

M. Michelson et al.

VALUE IN HEALTH (2019)

添加到收藏夹

Article Mathematical & Computational Biology

revtools: An R package to support article screening for evidence synthesis

Martin J. Westgate

RESEARCH SYNTHESIS METHODS (2019)

添加到收藏夹

Editorial Material Medicine, General & Internal

Data science in modern evidence-based medicine

Dina Radenkovic et al.

JOURNAL OF THE ROYAL SOCIETY OF MEDICINE (2019)

添加到收藏夹

Article Economics

PNS335 USING MACHINE LEARNING FOR EFFICIENCY IMPROVEMENTS IN SYSTEMATIC LITERATURE REVIEWS OF CLINICAL EFFICACY AND SAFETY

N. Halfpenny et al.

VALUE IN HEALTH (2019)

添加到收藏夹

Article Economics

PNS306 USE OF ARTIFICIAL INTELLIGENCE WITH DISTILLERSR SOFTWARE AS A REVIEWER FOR A SYSTEMATIC LITERATURE REVIEW OF RANDOMIZED CONTROLLED TRIALS

B. Smela-Lipińska et al.

VALUE IN HEALTH (2019)

添加到收藏夹

Article Medical Informatics

Improving reference prioritisation with PICO recognition

Austin J. Brockmeier et al.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features

Jiantao Bian et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2019)

添加到收藏夹

Article Biochemistry & Molecular Biology

A guide to deep learning in healthcare

Andre Esteva et al.

NATURE MEDICINE (2019)

添加到收藏夹

Review Biochemistry & Molecular Biology

High-performance medicine: the convergence of human and artificial intelligence

Eric J. Topol

NATURE MEDICINE (2019)

添加到收藏夹

Review Medicine, General & Internal

A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?

Annette M. O'Connor et al.

SYSTEMATIC REVIEWS (2019)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

Performance Evaluation of Deep Learning Algorithms in Biomedical Document Classification

Bichitrananda Behera et al.

2019 11TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC 2019) (2019)

添加到收藏夹

Review Oncology

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes

Yujia Bao et al.

JCO CLINICAL CANCER INFORMATICS (2019)

添加到收藏夹

Article Clinical Neurology

Development and Implementation of Clinical Practice Guidelines: An Update and Synthesis of the Literature With a Focus in Application to Spinal Conditions

Lindsay Tetreault et al.

GLOBAL SPINE JOURNAL (2019)

添加到收藏夹

Article Medical Informatics

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Muhammad Afzal et al.

JMIR MEDICAL INFORMATICS (2019)

添加到收藏夹

Article Medicine, General & Internal

Screening PubMed abstracts: is class imbalance always a challenge to machine learning?

Corrado Lanera et al.

SYSTEMATIC REVIEWS (2019)

添加到收藏夹

Article Medicine, General & Internal

Measuring the impact of screening automation on meta-analyses of diagnostic test accuracy

Christopher R. Norman et al.

SYSTEMATIC REVIEWS (2019)

添加到收藏夹

Article Computer Science, Information Systems

A Deep Learning Approach With Deep Contextualized Word Representations for ChemicalProtein Interaction Extraction From Biomedical Literature

Cong Sun et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Health Care Sciences & Services

Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews

Paige Martin et al.

JAMIA OPEN (2019)

添加到收藏夹

Article Medicine, General & Internal

Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study

Gerald Gartlehner et al.

SYSTEMATIC REVIEWS (2019)

添加到收藏夹

Article Medicine, General & Internal

Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools

Allison Gates et al.

SYSTEMATIC REVIEWS (2019)

添加到收藏夹

Review Medicine, General & Internal

Toward systematic review automation: a practical guide to using machine learning tools in research synthesis

Iain J. Marshall et al.

SYSTEMATIC REVIEWS (2019)

添加到收藏夹

Review Computer Science, Information Systems

Review of Deep Learning Algorithms and Architectures

Ajay Shrestha et al.

IEEE ACCESS (2019)

添加到收藏夹

Review Health Care Sciences & Services

Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool

Allison Gates et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2018)

添加到收藏夹

Article Health Care Sciences & Services

Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews

Corrado Lanera et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2018)

添加到收藏夹

Article Health Care Sciences & Services

A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

Guilherme Del Fiol et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2018)

添加到收藏夹

Article Mathematical & Computational Biology

Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide

Iain J. Marshall et al.

RESEARCH SYNTHESIS METHODS (2018)

添加到收藏夹

Article Medicine, General & Internal

PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

Andrea C. Tricco et al.

ANNALS OF INTERNAL MEDICINE (2018)

添加到收藏夹

Meeting Abstract Economics

DEVELOPMENT OF MACHINE LEARNING BASED ABSTRACT DOCUMENT CLASSIFICATION FOR SUPPORTING SYSTEMATIC REVIEWS

A. Kanegasaki et al.

VALUE IN HEALTH (2018)

添加到收藏夹

Meeting Abstract Economics

AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS

E. Q. Wu et al.

VALUE IN HEALTH (2018)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine

Grace E. Lee et al.

ACM/SIGIR PROCEEDINGS 2018 (2018)

添加到收藏夹

Article Medicine, General & Internal

Evidence synthesis software

Sophie Elizabeth Park et al.

BMJ EVIDENCE-BASED MEDICINE (2018)

添加到收藏夹

Review Medicine, General & Internal

Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool

Allison Gates et al.

SYSTEMATIC REVIEWS (2018)

添加到收藏夹

Review Medicine, General & Internal

Automated screening of research studies for systematic reviews using study characteristics

Guy Tsafnat et al.

SYSTEMATIC REVIEWS (2018)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Generating disease-pertinent treatment vocabularies from MEDLINE citations

Liqin Wang et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A semi-supervised approach using label propagation to support citation screening

Georgios Kontonatsios et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2017)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Reproducibility of studies on text mining for citation screening in systematic reviews: Evaluation and checklist

Babatunde Kazeem Olorisade et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Automatic identification of high impact articles in PubMed to support clinical decision making

Jiantao Bian et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

ZK DrugResist 2.0: A TextMiner to extract semantic relations of drug resistance from PubMed

Zoya Khalid et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2017)

添加到收藏夹

Review Health Care Sciences & Services

Living systematic reviews: 2. Combining human and machine effort

James Thomas et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2017)

添加到收藏夹

Article Computer Science, Information Systems

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach

Byron C. Wallace et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2017)

添加到收藏夹

Review Medicine, General & Internal

Progress in evidence-based medicine: a quarter century on

Benjamin Djulbegovic et al.

LANCET (2017)

添加到收藏夹

Review Medicine, General & Internal

Clinical Practice Guidelines: A Primer on Development and Dissemination

M. Hassan Murad

MAYO CLINIC PROCEEDINGS (2017)

添加到收藏夹

Meeting Abstract Economics

EVALUATING ROBOTREVIEWER FOR AUTOMATED RISK OF BIAS ASSESSMENT IN A SYSTEMATIC REVIEW: A CASE STUDY

M. Edwards et al.

VALUE IN HEALTH (2017)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews

Harrisen Scells et al.

CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2017)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

A CRF based Machine Learning Approach for Biomedical Named Entity Recognition

U. Kanimozhi et al.

2017 SECOND INTERNATIONAL CONFERENCE ON RECENT TRENDS AND CHALLENGES IN COMPUTATIONAL MODELS (ICRTCCM) (2017)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

A Hybrid Machine Learning Method for Finding Depression Related Publications by Eliminating Outlier Publications

Zhibo Wang et al.

2017 IEEE 18TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IEEE IRI 2017) (2017)

添加到收藏夹

Article Medical Informatics

Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure

Ahmad P. Tafti et al.

JMIR MEDICAL INFORMATICS (2017)

添加到收藏夹

Letter Medicine, General & Internal

Machine Learning Versus Standard Techniques for Updating Searches for Systematic Reviews: A Diagnostic Accuracy Study

Paul G. Shekelle et al.

ANNALS OF INTERNAL MEDICINE (2017)

添加到收藏夹

Article Public, Environmental & Occupational Health

Machine learning to assist risk-of-bias assessments in systematic reviews

Louise A. C. Millard et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2016)

添加到收藏夹

Article Computer Science, Information Systems

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials

Iain J. Marshall et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2016)

添加到收藏夹

Review Pharmacology & Pharmacy

Application of an automated natural language processing (NLP) workflow to enable federated search of external biomedical content in drug discovery and development

Robin McEntire et al.

DRUG DISCOVERY TODAY (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Classification of clinically useful sentences in clinical evidence resources

Mohammad Amin Morid et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

PDF text classification to leverage information extraction from publication reports

Duy Duc An Bui et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Query-oriented evidence extraction to support evidence-based medicine practice

Abeed Sarker et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Extractive text summarization system to aid data extraction from full text in systematic review development

Duy Duc An Bui et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2016)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Topic detection using paragraph vectors to support active learning in systematic reviews

Kazuma Hashimoto et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2016)

添加到收藏夹

Article Endocrinology & Metabolism

Tracking medical genetic literature through machine learning

Aaron T. Bornstein et al.

MOLECULAR GENETICS AND METABOLISM (2016)

添加到收藏夹

Review Medicine, General & Internal

Rayyan-a web and mobile app for systematic reviews

Mourad Ouzzani et al.

SYSTEMATIC REVIEWS (2016)

添加到收藏夹

Review Medicine, General & Internal

SWIFT-Review: a text-mining workbench for systematic review

Brian E. Howard et al.

SYSTEMATIC REVIEWS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Automatic evidence quality prediction to support evidence-based decision making

Abeed Sarker et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2015)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Automatic endpoint detection to support the systematic review process

Catherine Blake et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2015)

添加到收藏夹

Article Computer Science, Information Systems

Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine

Aaron M. Cohen et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2015)

添加到收藏夹

Article Biochemical Research Methods

Aggregator: A machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial

Weixiang Shao et al.

METHODS (2015)

添加到收藏夹

Article Computer Science, Information Systems

Automating Risk of Bias Assessment for Clinical Trials

Iain J. Marshall et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2015)

添加到收藏夹

Review Medicine, General & Internal

Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers

John Rathbone et al.

SYSTEMATIC REVIEWS (2015)

添加到收藏夹

Review Medicine, General & Internal

Supporting systematic reviews using LDA-based document representations

Yuanhan Mo et al.

SYSTEMATIC REVIEWS (2015)

添加到收藏夹

Review Medicine, General & Internal

Automating data extraction in systematic reviews: a systematic review

Siddhartha R. Jonnalagadda et al.

SYSTEMATIC REVIEWS (2015)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

The data retrieval optimization from the perspective of evidence-based medicine

Vladimir Dobrynin et al.

PROCEEDINGS OF THE 2015 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (2015)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Automatic construction of a large-scale and accurate drug-side-effect association knowledge base from biomedical literature

Rong Xu et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2014)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

An SVM-based high-quality article classifier for systematic reviews

Seunghee Kim et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2014)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Text summarization in the biomedical domain: A systematic review of recent research

Rashmi Mishra et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2014)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Reducing systematic review workload through certainty-based screening

Makoto Miwa et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2014)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Identifying scientific artefacts in biomedical literature: The Evidence Based Medicine use case

Hamed Hassanzadeh et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2014)

添加到收藏夹

Review Multidisciplinary Sciences

Feature Engineering and a Proposed Decision-Support System for Systematic Reviewers of Medical Evidence

Tanja Bekhuis et al.

PLOS ONE (2014)

添加到收藏夹

Article Multidisciplinary Sciences

Machine Learning for Biomedical Literature Triage

Hayda Almeida et al.

PLOS ONE (2014)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Representing Evidence from Biomedical Literature for Clinical Decision Support Challenges on Semantic Computing and Biomedicine

William Hsu

2014 IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC) (2014)

添加到收藏夹

Review Biochemical Research Methods

Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review

Yufan Guo et al.

BIOINFORMATICS (2013)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

PICO element detection in medical text without metadata: Are first sentences enough?

Ke-Chun Huang et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2013)

添加到收藏夹

Editorial Material Medicine, General & Internal

The automation of systematic reviews

Guy Tsafnat et al.

BMJ-BRITISH MEDICAL JOURNAL (2013)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Screening nonrandomized studies for medical systematic reviews: A comparative study of classifiers

Tanja Bekhuis et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2012)

添加到收藏夹

Review Medical Informatics

Studying the potential impact of automated document classification on scheduling a systematic review update

Aaron M. Cohen et al.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2012)

添加到收藏夹

Article Mathematical & Computational Biology

Extracting epidemiologic exposure and outcome terms from literature using Machine Learning approaches

Yanxin Lu et al.

INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS (2012)

添加到收藏夹

Article Computer Science, Information Systems

Leveraging medical thesauri and physician feedback for improving medical literature retrieval for case queries

Parikshit Sondhi et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2012)

添加到收藏夹

Article Computer Science, Information Systems

Automatic discourse connective detection in biomedical text

Balaji Polepalli Ramesh et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2012)

添加到收藏夹

Article Medicine, General & Internal

Creation of a corpus for evidence based medicine summarisation

Diego Molla et al.

AUSTRALASIAN MEDICAL JOURNAL (2012)

添加到收藏夹

Article Medical Informatics

Improving the Performance of Text Categorization Models Used for the Selection of High Quality Articles

Seunghee Kim et al.

HEALTHCARE INFORMATICS RESEARCH (2012)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Exploiting the systematic review protocol for classification of medical abstracts

Oana Frunza et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Terminological resources for text mining over biomedical scientific literature

Fabio Rinaldi et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A semantic graph-based approach to biomedical summarisation

Laura Plaza et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2011)

添加到收藏夹

Article Biochemical Research Methods

Automatic classification of sentences to support Evidence Based Medicine

Su Nam Kim et al.

BMC BIOINFORMATICS (2011)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

AskHERMES: An online question answering system for complex clinical questions

YongGang Cao et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2011)

添加到收藏夹

Article Computer Science, Information Systems

Using information mining of the medical literature to improve drug safety

Kanaka D. Shetty et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2011)

添加到收藏夹

Article Medicine, General & Internal

Speed of updating online evidence based point of care summaries: prospective cohort analysis

Rita Banzi et al.

BMJ-BRITISH MEDICAL JOURNAL (2011)

添加到收藏夹

Article Biochemical Research Methods

Semi-automated screening of biomedical citations for systematic reviews

Byron C. Wallace et al.

BMC BIOINFORMATICS (2010)

添加到收藏夹

Article Computer Science, Information Systems

A new algorithm for reducing the workload of experts in performing systematic reviews

Stan Matwin et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Versioning computer-interpretable guidelines: Semi-automatic modeling of 'Living Guidelines' using an information extraction method

Katharina Kaiser et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2009)

添加到收藏夹

Article Medical Informatics

Sentence retrieval for abstracts of randomized controlled trials

Grace Y. Chung

BMC MEDICAL INFORMATICS AND DECISION MAKING (2009)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Towards identifying intervention arms in randomized controlled trials: Extracting coordinating constructions

Grace Yuet-Chee Chung

JOURNAL OF BIOMEDICAL INFORMATICS (2009)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Automatic summarization of MEDLINE citations for evidence-based medical treatment: A topic-oriented evaluation

Marcelo Fiszman et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2009)

添加到收藏夹

Article Computer Science, Information Systems

Towards Automatic Recognition of Scientifically Rigorous Clinical Research Evidence

Halil Kilicoglu et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2009)

添加到收藏夹

Review Computer Science, Information Systems

Cross-Topic Learning for Work Prioritization in Systematic Review Creation and Update

Aaron M. Cohen et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2009)

添加到收藏夹

Article Computer Science, Information Systems

Discovering Novel Causal Patterns From Biomedical Natural-Language Texts Using Bayesian Nets

John Atkinson et al.

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2008)

添加到收藏夹

Editorial Material Medicine, General & Internal

GRADE:: what is quality of evidence and why is it important to clinicians?

Gordon H. Guyatt et al.

BMJ-BRITISH MEDICAL JOURNAL (2008)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Answering clinical questions with knowledge-based and statistical techniques

Dina Demner-Fushman et al.

COMPUTATIONAL LINGUISTICS (2007)

添加到收藏夹

Article Computer Science, Information Systems

A comparison of citation metrics to machine learning filters for the identification of high quality MEDLINE documents

Yindalon Aphinyanaphongs et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2006)

添加到收藏夹

Review Computer Science, Information Systems

Reducing workload in systematic review preparation using automated citation classification

AM Cohen et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2006)

添加到收藏夹

Article Computer Science, Information Systems

Automatically identifying health outcome information in MEDLINE records

D Demner-Fushman et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2006)

添加到收藏夹

Article Computer Science, Information Systems

Using citation data to improve retrieval from MEDLINE

EV Bernstam et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2006)

添加到收藏夹

Article Health Care Sciences & Services

Systems for grading the quality of evidence and the strength of recommendations II:: Pilot study of a new system -: art. no. 25

D Atkins et al.

BMC HEALTH SERVICES RESEARCH (2005)

添加到收藏夹

Article Computer Science, Information Systems

Text categorization models for high-quality article retrieval in internal medicine

Y Aphinyanaphongs et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2005)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.