Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data
Abstract Background Acute heart failure (AHF) is associated with significant morbidity and mortality. Effective patient risk stratification is essential to guiding hospitalization decisions and the clinical management of AHF. Clinical decision support systems can be used to improve predictions of mo...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-03-01
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Series: | BioData Mining |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13040-021-00255-w |