Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases

BACKGROUND: Heart failure (HF) combined with hypertension is an extremely important cause of in-hospital mortality, especially for the intensive care unit (ICU) patients. However, under intense working pressure, the medical staff are easily overwhelmed by the large number of clinical signals generat...

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Detalles Bibliográficos
Autores principales: Peng, Shengxian, Huang, Jian, Liu, Xiaozhu, Deng, Jiewen, Sun, Chenyu, Tang, Juan, Chen, Huaqiao, Cao, Wenzhai, Wang, Wei, Duan, Xiangjie, Luo, Xianglin, Peng, Shuang
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/PMC9597462/
https://www.ncbi.nlm.nih.gov/pubmed/36312291
http://dx.doi.org/10.3389/fcvm.2022.994359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597462/
https://www.ncbi.nlm.nih.gov/pubmed/36312291
http://dx.doi.org/10.3389/fcvm.2022.994359

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