Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure
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Open Access
- 1 February 2017
- journal article
- research article
- Published by American Medical Association (AMA) in JAMA Cardiology
- Vol. 2 (2) , 204-209
Abstract
Efforts to reduce heart failure (HF) readmissions have yielded mixed results,1,2 leaving guidelines unable to offer specific recommendations.3 Numerous studies have created models to predict HF readmissions,4-10 none of which have demonstrated sufficient discriminative properties, with C statistic or areas under the curve ranging from 0.54 to 0.72. Machine learning (ML) was identified by the Institute of Medicine with potential for analysis of predictive capabilities of large clinical data sets.11Keywords
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