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

Digital Health Reporting Standards, Quality and Transparency in e-Research (18) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (487) Big Data (143) Advanced Data Analytics in eHealth (28)

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 Luo 1 Author Orcid Image ;   Dinh Phung 2 Author Orcid Image ;   Truyen Tran 2 Author Orcid Image ;   Sunil Gupta 2 Author Orcid Image ;   Santu Rana 2 Author Orcid Image ;   Chandan Karmakar 2 Author Orcid Image ;   Alistair Shilton 2 Author Orcid Image ;   John Yearwood 2 Author Orcid Image ;   Nevenka Dimitrova 3 Author Orcid Image ;   Tu Bao Ho 4 Author Orcid Image ;   Svetha Venkatesh 2 Author Orcid Image ;   Michael Berk 2 Author Orcid Image
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