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

Unplanned patient readmissions within 30 days of discharge pose a substantial challenge in Canadian health care economics. To address this issue, risk stratification, machine learning, and linear regression paradigms have been proposed as potential predictive solutions. Ensemble machine learning met...

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Bibliographic Details
Published in:JMIR formative research Vol. 7; p. e41725
Main Authors: Rajkumar, Ethan, Nguyen, Kevin, Radic, Sandra, Paa, Jubelle, Geng, Qiyang
Format: Journal Article
Language:English
Published: Canada JMIR Publications 26.05.2023
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ISSN:2561-326X, 2561-326X
Online Access:Get full text
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