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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| Vydané v: | JMIR formative research Ročník 7; s. e41725 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Canada
JMIR Publications
26.05.2023
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| Predmet: | |
| ISSN: | 2561-326X, 2561-326X |
| On-line prístup: | Získať plný text |
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