Deep learning for predicting rehospitalization in acute heart failure: Model foundation and external validation

Deep learning for predicting rehospitalization in acute heart failure: Model foundation and external validation

Abstract Aims Assessing the risk for HF rehospitalization is important for managing and treating patients with HF. To address this need, various risk prediction models have been developed. However, none of them used deep learning methods with real‐world data. This study aimed to develop a deep learn...

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Bibliographic Details
Main Authors: Mi‐Na Kim, Yong Seok Lee, Youngmin Park, Ayoung Jung, Hanjee So, Joonwoong Park, Jin‐Joo Park, Dong‐Joo Choi, So‐Ree Kim, Seong‐Mi Park
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:ESC Heart Failure
Subjects:
Deep learning
Heart failure
Rehospitalization
Risk assessment
Online Access:https://doi.org/10.1002/ehf2.14918
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https://doi.org/10.1002/ehf2.14918

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