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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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | ESC Heart Failure |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ehf2.14918 |
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