The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis

BACKGROUND: Acute coronary syndromes (ACS) are the leading cause of global death. Optimizing mortality risk prediction and early identification of high-risk patients is essential for developing targeted prevention strategies. Many researchers have built machine learning (ML) models to predict the mo...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaoxiao, Wang, Xi, Xu, Luxin, Liu, Jia, Ren, Peng, Wu, Huanlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588162/
https://www.ncbi.nlm.nih.gov/pubmed/37864271
http://dx.doi.org/10.1186/s40001-023-01027-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588162/
https://www.ncbi.nlm.nih.gov/pubmed/37864271
http://dx.doi.org/10.1186/s40001-023-01027-4

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