Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph

Abstract Triaging and prioritising patients for RT-PCR test had been essential in the management of COVID-19 in resource-scarce countries. In this study, we applied machine learning (ML) to the task of detection of SARS-CoV-2 infection using basic laboratory markers. We performed the statistical ana...

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Autores principales:	Richard Du, Efstratios D. Tsougenis, Joshua W. K. Ho, Joyce K. Y. Chan, Keith W. H. Chiu, Benjamin X. H. Fang, Ming Yen Ng, Siu-Ting Leung, Christine S. Y. Lo, Ho-Yuen F. Wong, Hiu-Yin S. Lam, Long-Fung J. Chiu, Tiffany Y So, Ka Tak Wong, Yiu Chung I. Wong, Kevin Yu, Yiu-Cheong Yeung, Thomas Chik, Joanna W. K. Pang, Abraham Ka-chung Wai, Michael D. Kuo, Tina P. W. Lam, Pek-Lan Khong, Ngai-Tseung Cheung, Varut Vardhanabhuti
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f01d34f4f45d4097bfbec59ffa2e34af
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Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph

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