Comparison of linear and non-linear machine learning models for time-dependent readmission or mortality prediction among hospitalized heart failure patients

Although many models are available to predict prognosis of heart failure patients, most tools combining survival analysis are based on proportional hazard model. Non-linear machine learning algorithms would overcome the limitation of the time-independent hazard ratio assumption and provide more info...

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Detalles Bibliográficos
Autores principales: Tong, Rui, Zhu, Zhongsheng, Ling, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192765/
https://www.ncbi.nlm.nih.gov/pubmed/37215773
http://dx.doi.org/10.1016/j.heliyon.2023.e16068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192765/
https://www.ncbi.nlm.nih.gov/pubmed/37215773
http://dx.doi.org/10.1016/j.heliyon.2023.e16068

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