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

Systematic Review Protocols (268) Machine Learning (1465) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Clinical Informatics (1022)

Published on in Vol 11, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30956, first published .
Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Authors of this article:

Colin George Wyllie Weaver1 Author Orcid Image ;   Robert B Basmadjian1 Author Orcid Image ;   Tyler Williamson1 Author Orcid Image ;   Kerry McBrien1, 2 Author Orcid Image ;   Tolu Sajobi1 Author Orcid Image ;   Devon Boyne3 Author Orcid Image ;   Mohamed Yusuf4 Author Orcid Image ;   Paul Everett Ronksley1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  2. Klement W, El Emam K. Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation. Journal of Medical Internet Research 2023;25:e48763 View
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