Optimized Machine Learning Models to Predict In-Hospital Mortality for Patients with ST-Segment Elevation Myocardial Infarction

PURPOSE: This study aimed to optimize machine learning (ML) models for predicting in-hospital mortality in patients with ST-segment elevation acute myocardial infarction (STEMI). PATIENTS AND METHODS: A total of 5708 STEMI patients were enrolled and divided into two groups according to patients’ hos...

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Detalles Bibliográficos
Autores principales: Zhao, Jia, Zhao, Pengyu, Li, Chunjie, Hou, Yonghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427294/
https://www.ncbi.nlm.nih.gov/pubmed/34511920
http://dx.doi.org/10.2147/TCRM.S321799

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427294/
https://www.ncbi.nlm.nih.gov/pubmed/34511920
http://dx.doi.org/10.2147/TCRM.S321799

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