Machine Learning for Prediction of Outcomes in Cardiogenic Shock

OBJECTIVE: The management of cardiogenic shock (CS) in the elderly remains a major clinical challenge. Existing clinical prediction models have not performed well in assessing the prognosis of elderly patients with CS. This study aims to build a predictive model, which could better predict the 30-da...

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Detalles Bibliográficos
Autores principales: Rong, Fangning, Xiang, Huaqiang, Qian, Lu, Xue, Yangjing, Ji, Kangting, Yin, Ripen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120613/
https://www.ncbi.nlm.nih.gov/pubmed/35600489
http://dx.doi.org/10.3389/fcvm.2022.849688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120613/
https://www.ncbi.nlm.nih.gov/pubmed/35600489
http://dx.doi.org/10.3389/fcvm.2022.849688

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