Construction and analysis of heart failure diagnosis model based on random forest and artificial neural network

Heart failure is a global health problem and the number of sufferers is increasing as the population grows and ages. Existing diagnostic techniques for heart failure have various limitations in the clinical setting and there is a need to develop a new diagnostic model to complement the existing diag...

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Detalles Bibliográficos
Autores principales: Boyang, Chen, Yuexing, Li, Yiping, Yan, Haiyang, Yu, Xufei, Zhang, Liancheng, Guan, Yunzhi, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
3400
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575800/
https://www.ncbi.nlm.nih.gov/pubmed/36254001
http://dx.doi.org/10.1097/MD.0000000000031097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575800/
https://www.ncbi.nlm.nih.gov/pubmed/36254001
http://dx.doi.org/10.1097/MD.0000000000031097

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