4.7 Article

IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain

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 Urology & Nephrology

Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations

Seong Hyeon Yu et al.

Summary: The study evaluated the concordance between treatment recommendations for prostate cancer by WFO and the actual treatments received by patients in the urology department, revealing a relatively high rate of concordance. Many patients' treatments aligned with the recommendations provided by WFO.

WORLD JOURNAL OF UROLOGY (2021)

Article Biochemical Research Methods

G-Tric: generating three-way synthetic datasets with triclustering solutions

Joao Lobo et al.

Summary: Three-way data analysis is becoming increasingly important in various fields, and the ability to generate synthetic datasets with triclusters allows for improved evaluation of new algorithms. G-Tric provides researchers with the flexibility to customize datasets and assess triclustering approaches more effectively by providing ground truth solutions. This tool has the potential to advance triclustering methodologies and facilitate comparisons of different algorithms.

BMC BIOINFORMATICS (2021)

Article Medical Informatics

On the predictability of postoperative complications for cancer patients: a Portuguese cohort study

Daniel Goncalves et al.

Summary: Efforts have been made to predict postoperative complications in cancer patients by developing a machine learning-based risk score specific for the Portuguese population. The study aims to improve the interpretability of predictive models and provide new insights into the clinical decision process. The developed models showed moderate predictive performance and could be useful for guiding physicians in organizational and clinical decision making.

BMC MEDICAL INFORMATICS AND DECISION MAKING (2021)

Article Computer Science, Information Systems

Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain

Leonardo Alexandre et al.

Summary: Understanding the individualized risks of surgical procedures is crucial in personalized preparatory, intervention, and post-care protocols, especially in oncology. Biclustering presents a unique approach to identifying discriminative patterns of post-surgical risk, offering comprehensive and actionable insights for healthcare professionals.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)

Article Oncology

Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis

Daniel M. Goncalves et al.

Summary: This study integrates classical risk scores and machine learning methods in a structured survey on postoperative risk analysis in oncology, guiding the development of cohort study designs and predictive modeling of postoperative risks.

CANCERS (2021)

Article Gastroenterology & Hepatology

Use of Machine Learning for Prediction of Patient Risk of Postoperative Complications After Liver, Pancreatic, and Colorectal Surgery

Katiuscha Merath et al.

JOURNAL OF GASTROINTESTINAL SURGERY (2020)

Article Medicine, General & Internal

Key challenges for delivering clinical impact with artificial intelligence

Christopher J. Kelly et al.

BMC MEDICINE (2019)

Review Biochemistry & Molecular Biology

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

Eric J. Topol

NATURE MEDICINE (2019)

Article Computer Science, Artificial Intelligence

BSig: evaluating the statistical significance of biclustering solutions

Rui Henriques et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2018)

Article Clinical Neurology

The Seattle spine score: Predicting 30-day complication risk in adult spinal deformity surgery

Quinlan D. Buchlak et al.

JOURNAL OF CLINICAL NEUROSCIENCE (2017)

Article Oncology

Postoperative Complications After Breast Cancer Surgery are Not Related to Age

Britt ten Wolde et al.

ANNALS OF SURGICAL ONCOLOGY (2017)

Article Biochemical Research Methods

BicPAMS: software for biological data analysis with pattern-based biclustering

Rui Henriques et al.

BMC BIOINFORMATICS (2017)

Article Computer Science, Interdisciplinary Applications

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

Cristina Soguero-Ruiz et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2016)

Article Public, Environmental & Occupational Health

Age and Cancer Risk A Potentially Modifiable Relationship

Mary C. White et al.

AMERICAN JOURNAL OF PREVENTIVE MEDICINE (2014)

Article Computer Science, Artificial Intelligence

OncoDoc:: a successful experiment of computer-supported guideline development and implementation in the treatment of breast cancer

B Séroussi et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2001)