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

Methods and Instruments in Medical Informatics (215) Machine Learning (2244) Electronic Health Records (1385) Secondary Use of Clinical Data for Research and Surveillance (494) Tools, Programs and Algorithms (410) New Methods (1184)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79307, first published .
Methods for Addressing Missingness in Electronic Health Record Data for Clinical Prediction Models: Comparative Evaluation

Methods for Addressing Missingness in Electronic Health Record Data for Clinical Prediction Models: Comparative Evaluation

Methods for Addressing Missingness in Electronic Health Record Data for Clinical Prediction Models: Comparative Evaluation

Authors of this article:

Jean Digitale1, 2 Author Orcid Image ;   Deborah Franzon3 Author Orcid Image ;   Mark J Pletcher2 Author Orcid Image ;   Charles E McCulloch2 Author Orcid Image ;   Efstathios D Gennatas2 Author Orcid Image
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Journals

  1. Arikhad M, Tariq A, Rasool S. Risk Analysis in Cardiovascular Healthcare Systems Using Machine Learning for Better Clinical Decision Support. International Journal of Innovative Research in Computer Science and Technology 2026;14(2):34 View