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Article Dans Une Revue International Journal of Medical Informatics Année : 2023

Consistent comparison of symptom-based methods for COVID-19 infection detection

Résumé

A consistent comparison of various methods for detecting COVID-19 active cases. • UMD-CTIS data for six countries and two periods were used to compare detection methods. • Detection methods were evaluated for countries with different test-positive rates. • Explainability analysis is conducted to quantify the relevance of symptoms in COVID-19 detection.
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hal-04406757 , version 1 (19-01-2024)

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Jesús Rufino, Juan Marcos Ramírez, Jose Aguilar, Carlos Baquero, Jaya Champati, et al.. Consistent comparison of symptom-based methods for COVID-19 infection detection. International Journal of Medical Informatics, 2023, 177, pp.105133. ⟨10.1016/j.ijmedinf.2023.105133⟩. ⟨hal-04406757⟩
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