Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View-Reference-Cited by-同舟云学术

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Published:2016-12-16 Issue:12 Volume:18 Page:e323
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:J Med Internet Res

Author:

Luo Wei^ORCID,Phung Dinh^ORCID,Tran Truyen^ORCID,Gupta Sunil^ORCID,Rana Santu^ORCID,Karmakar Chandan^ORCID,Shilton Alistair^ORCID,Yearwood John^ORCID,Dimitrova Nevenka^ORCID,Ho Tu Bao^ORCID,Venkatesh Svetha^ORCID,Berk Michael^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Informatics

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1. Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting

2. Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions

3. Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

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