An explainable transformer-based deep learning model for the prediction of incident heart failure
Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep learning models applied to rich electronic health records may improve prediction but remain unexplainable hampering their wider use in medical practice. We aimed to develop a deep-learning framework for...
| Główni autorzy: | , , , , , , , , |
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| Format: | Journal article |
| Język: | English |
| Wydane: |
IEEE
2022
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