Continuous learning and inference of individual probability of SARS-CoV-2 infection based on interaction data

Continuous learning and inference of individual probability of SARS-CoV-2 infection based on interaction data

Abstract This study presents a new approach to determine the likelihood of asymptomatic carriers of the SARS-CoV-2 virus by using interaction-based continuous learning and inference of individual probability (CLIIP) for contagious ranking. This approach is developed based on an individual directed g...

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Autores principales: Shangching Liu, Koyun Liu, Hwaihai Chiang, Jianwei Zhang, Tsungyao Chang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/a917d58029a44f128e3e181c6d1f4bdf
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