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Machine Learning Approach to Predict In‐Hospital Mortality in Patients Admitted for Peripheral Artery Disease in the United States
BACKGROUND: Peripheral artery disease (PAD) affects >10 million people in the United States. PAD is associated with poor outcomes, including premature death. Machine learning (ML) has been increasingly used on big data to predict clinical outcomes. This study aims to develop ML models to predict...
Autores principales: | Zhang, Donglan, Li, Yike, Kalbaugh, Corey Andrew, Shi, Lu, Divers, Jasmin, Islam, Shahidul, Annex, Brian H. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673668/ https://www.ncbi.nlm.nih.gov/pubmed/36216437 http://dx.doi.org/10.1161/JAHA.122.026987 |
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