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Machine Learning vs. Conventional Statistical Models for Predicting Heart Failure Readmission and Mortality
167
Zitationen
14
Autoren
2020
Jahr
Abstract
ML algorithms had better discrimination than CSMs in most studies aiming to predict risk of readmission and mortality in HF patients. Based on our review, there is a need for external validation of ML-based studies of prediction modelling. We suggest that ML-based studies should also be evaluated using clinical quality standards for prognosis research. Registration: PROSPERO CRD42020134867.
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