Deep learning for electronic health records: risk prediction, explainability, and uncertainty
<p><strong>Background:</strong> Risk models are essential for care planning and disease prevention. The unsatisfactory performance of the established clinical models has raised broad awareness and concerns. An accurate, explainable, and reliable risk model is highly beneficial but...
| Главный автор: | |
|---|---|
| Другие авторы: | |
| Формат: | Диссертация |
| Язык: | English |
| Опубликовано: |
2022
|
| Предметы: |