Risk of Mortality Prediction Involving Time-Varying Covariates for Patients with Heart Failure Using Deep Learning

Heart failure (HF) is challenging public medical and healthcare systems. This study aimed to develop and validate a novel deep learning-based prognostic model to predict the risk of all-cause mortality for patients with HF. We also compared the performance of the proposed model with those of classic...

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Detalles Bibliográficos
Autores principales: Nakamura, Keijiro, Zhou, Xue, Sahara, Naohiko, Toyoda, Yasutake, Enomoto, Yoshinari, Hara, Hidehiko, Noro, Mahito, Sugi, Kaoru, Huang, Ming, Moroi, Masao, Nakamura, Masato, Zhu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777280/
https://www.ncbi.nlm.nih.gov/pubmed/36552953
http://dx.doi.org/10.3390/diagnostics12122947

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777280/
https://www.ncbi.nlm.nih.gov/pubmed/36552953
http://dx.doi.org/10.3390/diagnostics12122947

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