Machine learning for early prediction of in‐hospital cardiac arrest in patients with acute coronary syndromes

BACKGROUND: Previous studies have used machine leaning to predict clinical deterioration to improve outcome prediction. However, no study has used machine learning to predict cardiac arrest in patients with acute coronary syndrome (ACS). Algorithms are required to generate high‐performance models fo...

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Detalles Bibliográficos
Autores principales: Wu, Ting Ting, Lin, Xiu Quan, Mu, Yan, Li, Hong, Guo, Yang Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2021
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943901/
https://www.ncbi.nlm.nih.gov/pubmed/33586214
http://dx.doi.org/10.1002/clc.23541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943901/
https://www.ncbi.nlm.nih.gov/pubmed/33586214
http://dx.doi.org/10.1002/clc.23541

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