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

Formative Evaluation of Digital Health Interventions (2226) Clinical Informatics (919) Clinical Information and Decision Making (1340) Machine Learning (1401)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41725, first published .
Machine Learning and Causal Approaches to Predict Readmissions and Its Economic Consequences Among Canadian Patients With Heart Disease: Retrospective Study

Machine Learning and Causal Approaches to Predict Readmissions and Its Economic Consequences Among Canadian Patients With Heart Disease: Retrospective Study

Machine Learning and Causal Approaches to Predict Readmissions and Its Economic Consequences Among Canadian Patients With Heart Disease: Retrospective Study

Authors of this article:

Ethan Rajkumar1 Author Orcid Image ;   Kevin Nguyen2 Author Orcid Image ;   Sandra Radic2 Author Orcid Image ;   Jubelle Paa2 Author Orcid Image ;   Qiyang Geng3 Author Orcid Image
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