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:	Leila Aissaoui Ferhi, Manel Ben Amar, Fethi Choubani, Ridha Bouallegue
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2024-10-01
Colecção:	Frontiers in Artificial Intelligence
Assuntos:	health checker symptoms machine learning confusion matrix ROC/AUC curves precision-recall curve
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/frai.2024.1397388/full
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