Machine learning-driven COVID-19 early triage and large-scale testing strategies based on the 2021 Costa Rican Actualidades survey

The COVID-19 pandemic underscored the importance of mass testing to mitigate the spread of the virus. This study presents mass-testing strategies developed through machine learning models, which predict the risk of COVID-19 contagion based on health determinants. Using data from the 2021 “Actualidad...

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Egile Nagusiak:	Carlos Pasquier, Maikol Solís, Vivian Vilchez, Santiago Núñez-Corrales
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Taylor & Francis Group 2025-12-01
Saila:	Mathematics in Medical and Life Sciences
Gaiak:	COVID-19 mass testing strategies machine learning health determinants Costa Rica
Sarrera elektronikoa:	https://www.tandfonline.com/doi/10.1080/29937574.2025.2494001
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!