Use of machine learning models to predict in‐hospital mortality in patients with acute coronary syndrome

BACKGROUND: Cardiovascular diseases are a significant health burden with the prevalence increasing worldwide. Thus, a highly accurate assessment and prediction of death risk are crucial to meet the clinical demand. This study sought to develop and validate a model to predict in‐hospital mortality am...

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Detalles Bibliográficos
Autores principales: Li, Rong, Shen, Lan, Ma, Wenyan, Yan, Bo, Chen, Wenchang, Zhu, Jie, Li, Linfeng, Yuan, Junyi, Pan, Changqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933107/
https://www.ncbi.nlm.nih.gov/pubmed/36479714
http://dx.doi.org/10.1002/clc.23957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933107/
https://www.ncbi.nlm.nih.gov/pubmed/36479714
http://dx.doi.org/10.1002/clc.23957

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