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

Jesús Rufino,Juan Marcos Ramírez,Jose Aguilar,Carlos Baquero,Jaya Champati,Davide Frey,Rosa Elvira Lillo,Antonio Fernández-Anta

International Journal of Medical Informatics（2023）

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摘要

Background: During the global pandemic crisis, various detection methods of COVID-19-positive cases based on self-reported information were introduced to provide quick diagnosis tools for effectively planning and managing healthcare resources. These methods typically identify positive cases based on a particular combination of symptoms, and they have been evaluated using different datasets.

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关键词

COVID-19 detection methods, Explainability analysis, F1-score, Logistic regression methods, Rule-based methods, Tree-based models

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