This paper is in the following e-collection/theme issue:

Digital Health Reporting Standards, Quality and Transparency in e-Research (63) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (782) Big Data (215) Advanced Data Analytics in eHealth (104)

Published on in Vol 18, No 12 (2016): December

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

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

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

Authors of this article:

Wei Luo1 Author Orcid Image ;   Dinh Phung2 Author Orcid Image ;   Truyen Tran2 Author Orcid Image ;   Sunil Gupta2 Author Orcid Image ;   Santu Rana2 Author Orcid Image ;   Chandan Karmakar2 Author Orcid Image ;   Alistair Shilton2 Author Orcid Image ;   John Yearwood2 Author Orcid Image ;   Nevenka Dimitrova3 Author Orcid Image ;   Tu Bao Ho4 Author Orcid Image ;   Svetha Venkatesh2 Author Orcid Image ;   Michael Berk2 Author Orcid Image
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