Enhancing diagnostic accuracy in symptom-based health checkers: a comprehensive machine learning approach with clinical vignettes and benchmarking
IntroductionThe development of machine learning models for symptom-based health checkers is a rapidly evolving area with significant implications for healthcare. Accurate and efficient diagnostic tools can enhance patient outcomes and optimize healthcare resources. This study focuses on evaluating a...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2024-10-01
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| Series: | Frontiers in Artificial Intelligence |
| Assuntos: | |
| Acceso en liña: | https://www.frontiersin.org/articles/10.3389/frai.2024.1397388/full |
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