Prediction of 30-day mortality in heart failure patients with hypoxic hepatitis: Development and external validation of an interpretable machine learning model

BACKGROUND: This study aimed to explore the impact of hypoxic hepatitis (HH) on survival in heart failure (HF) patients and to develop an effective machine learning model to predict 30-day mortality risk in HF patients with HH. METHODS: In the Medical Information Mart for Intensive Care (MIMIC)-III...

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Detalles Bibliográficos
Autores principales: Sun, Run, Wang, Xue, Jiang, Haiyan, Yan, Yan, Dong, Yansong, Yan, Wenxiao, Luo, Xinye, Miu, Hua, Qi, Lei, Huang, Zhongwei
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/PMC9649827/
https://www.ncbi.nlm.nih.gov/pubmed/36386374
http://dx.doi.org/10.3389/fcvm.2022.1035675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649827/
https://www.ncbi.nlm.nih.gov/pubmed/36386374
http://dx.doi.org/10.3389/fcvm.2022.1035675

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