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

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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Bibliographic Details
Main Authors: Keijiro Nakamura, Xue Zhou, Naohiko Sahara, Yasutake Toyoda, Yoshinari Enomoto, Hidehiko Hara, Mahito Noro, Kaoru Sugi, Ming Huang, Masao Moroi, Masato Nakamura, Xin Zhu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Diagnostics
Subjects:
deep learning
heart failure
mortality
risk prediction
time-varying covariates
Online Access:https://www.mdpi.com/2075-4418/12/12/2947

Internet

https://www.mdpi.com/2075-4418/12/12/2947

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