☆ 4.6 Article

A Personalized Medical Decision Support System Based on Explainable Machine Learning Algorithms and ECC Features: Data from the Real World

DIAGNOSTICS (2021)

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 Health Care Sciences & Services

Risk Reclassification of Patients with Endometrial Cancer Based on Tumor Molecular Profiling: First Real World Data

Felicitas Oberndorfer et al.

Summary: This study investigated the clinical feasibility of molecular profiling in endometrial cancer and its potential impact on treatment decisions. The results showed that molecular profiling is feasible in daily routine and new risk classification systems will substantially change treatment decisions.

JOURNAL OF PERSONALIZED MEDICINE (2021)

添加到收藏夹

Article Health Care Sciences & Services

Complex Machine-Learning Algorithms and Multivariable Logistic Regression on Par in the Prediction of Insufficient Clinical Response to Methotrexate in Rheumatoid Arthritis

Helen R. Gosselt et al.

Summary: This study found that logistic regression performed well in predicting insufficient response to MTX compared to machine-learning algorithms, with higher sensitivity. Models with feature selection only required six features, making them more suitable for clinical implementation. Additionally, the prediction model showed specificity towards response to MTX (combination) therapy.

JOURNAL OF PERSONALIZED MEDICINE (2021)

添加到收藏夹

Article Oncology

Cancer statistics for the year 2020: An overview

Jacques Ferlay et al.

Summary: The study briefly reviews the methods and data sources used in compiling the IARC GLOBOCAN cancer statistics for 2020 and summarizes the main results. It estimated that there were nearly 19.3 million new cancer cases and almost 10 million cancer deaths worldwide in 2020, with the most commonly diagnosed cancers being female breast cancer and lung cancer, and the most common causes of cancer death being lung cancer and liver cancer.

INTERNATIONAL JOURNAL OF CANCER (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Machine learning to guide the use of adjuvant therapies for breast cancer

Ahmed M. Alaa et al.

Summary: The Adjutorium model developed using machine learning technology accurately predicts the survival benefit of early breast cancer patients under different treatment options, demonstrating significantly improved accuracy compared to the current clinical tool PREDICT v2.1 in both internal and external validation. It substantially enhances accuracy in specific subgroups not well-served by existing models and is now implemented as a web-based decision support tool to assist in adjuvant therapy decisions for women with early breast cancer globally.

NATURE MACHINE INTELLIGENCE (2021)

添加到收藏夹

Article Health Care Sciences & Services

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Farah E. Shamout et al.

Summary: During the COVID-19 pandemic, a data-driven AI prognosis system was proposed to automatically predict deterioration risk using deep neural networks and gradient boosting models, achieving satisfactory results. The preliminary deployment in a real clinical setting demonstrated the system's potential to assist physicians in triaging COVID-19 patients effectively.

NPJ DIGITAL MEDICINE (2021)

添加到收藏夹

Article Oncology

Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer

Aline Baltres et al.

BREAST CANCER (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A case-based ensemble learning system for explainable breast cancer recurrence prediction

Dongxiao Gu et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)

添加到收藏夹

Article Health Care Sciences & Services

Use of an Unguided, Web-Based Distress Self-Management Program After Breast Cancer Diagnosis: Sub-Analysis of CaringGuidance Pilot Study

Robin M. Lally et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2020)

添加到收藏夹

Article Medical Informatics

A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model

Xiaopeng Yao et al.

JMIR MEDICAL INFORMATICS (2020)

添加到收藏夹

Article Information Science & Library Science

Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis

Xiaomo Liu et al.

INFORMATION SYSTEMS RESEARCH (2020)

添加到收藏夹

Article Health Care Sciences & Services

Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

Erping Long et al.

NPJ DIGITAL MEDICINE (2020)

添加到收藏夹

Review Health Care Sciences & Services

Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review

Syed Jamal Safdar Gardezi et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2019)

添加到收藏夹

Editorial Material Medicine, General & Internal

Potential Liability for Physicians Using Artificial Intelligence

W. Nicholson Price et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2019)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Explaining and predicting online review helpfulness: The role of content and reviewer-related signals

Michael Siering et al.

DECISION SUPPORT SYSTEMS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis

Dongxiao Gu et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2017)

添加到收藏夹

Review Computer Science, Information Systems

m-Health adoption by healthcare professionals: a systematic review

Marie-Pierre Gagnon et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2016)

添加到收藏夹

Article Computer Science, Information Systems

What Online Reviewer Behaviors Really Matter? Effects of Verbal and Nonverbal Behaviors on Detection of Fake Online Reviews

Dongsong Zhang et al.

JOURNAL OF MANAGEMENT INFORMATION SYSTEMS (2016)

添加到收藏夹

Article Health Care Sciences & Services

User Preferences and Design Recommendations for an mHealth App to Promote Cystic Fibrosis Self-Management

Marisa E. Hilliard et al.

JMIR MHEALTH AND UHEALTH (2014)

添加到收藏夹

Article Multidisciplinary Sciences

Improving Case-Based Reasoning Systems by Combining K-Nearest Neighbour Algorithm with Logistic Regression in the Prediction of Patients' Registration on the Renal Transplant Waiting List

Boris Campillo-Gimenez et al.

PLOS ONE (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

The adoption of mobile healthcare by hospital's professionals: An integrative perspective

Ing-Long Wu et al.

DECISION SUPPORT SYSTEMS (2011)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model

Christos D. Melas et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2011)

添加到收藏夹

Article Oncology

Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008

Jacques Ferlay et al.

INTERNATIONAL JOURNAL OF CANCER (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Support vector machines combined with feature selection for breast cancer diagnosis

Mehmet Fatih Akay

EXPERT SYSTEMS WITH APPLICATIONS (2009)

添加到收藏夹

Article Oncology

Is breast cancer incidence increasing among young women? An analysis of the trend in France for the period 1983-2002

Marc Colonna et al.

BREAST (2008)

添加到收藏夹

Article Acoustics

Classification of benign and malignant breast tumors using neural networks and three-dimensional power Doppler ultrasound

S. -J. Kuo et al.

ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2008)

添加到收藏夹

Article Chemistry, Multidisciplinary

Diagnosing breast cancer based on support vector machines

HX Liu et al.

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2003)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.