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

Digital Health Reporting Standards, Quality and Transparency in e-Research (73) Machine Learning (1501) Artificial Intelligence (1421) Digital Science, Open Science (79) Knowledge Translation and Implementation Science (407) Big Data (245) Advanced Data Analytics in eHealth (142)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48763, first published .
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation

Authors of this article:

William Klement1, 2 Author Orcid Image ;   Khaled El Emam1, 2 Author Orcid Image
Article Authors Cited by (17) Tweetations (3) Metrics

William Klement   1, 2 , PhD ;   Khaled El Emam   1, 2 , BEng, PhD

1 University of Ottawa, Ottawa, ON, Canada

2 CHEO Research Institute, Ottawa, ON, Canada

Corresponding Author: