Predicting Six-Month Re-Admission Risk in Heart Failure Patients Using Multiple Machine Learning Methods: A Study Based on the Chinese Heart Failure Population Database

Since most patients with heart failure are re-admitted to the hospital, accurately identifying the risk of re-admission of patients with heart failure is important for clinical decision making and management. This study plans to develop an interpretable predictive model based on a Chinese population...

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Detalles Bibliográficos
Autores principales: Chen, Shiyu, Hu, Weiwei, Yang, Yuhui, Cai, Jiaxin, Luo, Yaqi, Gong, Lingmin, Li, Yemian, Si, Aima, Zhang, Yuxiang, Liu, Sitong, Mi, Baibing, Pei, Leilei, Zhao, Yaling, Chen, Fangyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918116/
https://www.ncbi.nlm.nih.gov/pubmed/36769515
http://dx.doi.org/10.3390/jcm12030870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918116/
https://www.ncbi.nlm.nih.gov/pubmed/36769515
http://dx.doi.org/10.3390/jcm12030870

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