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...

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Detalles Bibliográficos
Autores principales: Zhang, Donglan, Li, Yike, Kalbaugh, Corey Andrew, Shi, Lu, Divers, Jasmin, Islam, Shahidul, Annex, Brian H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Research
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

Internet

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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