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

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 analysis and...

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Detalles Bibliográficos
Autores principales: Du, Richard, Tsougenis, Efstratios D., Ho, Joshua W. K., Chan, Joyce K. Y., Chiu, Keith W. H., Fang, Benjamin X. H., Ng, Ming Yen, Leung, Siu-Ting, Lo, Christine S. Y., Wong, Ho-Yuen F., Lam, Hiu-Yin S., Chiu, Long-Fung J., So, Tiffany Y, Wong, Ka Tak, Wong, Yiu Chung I., Yu, Kevin, Yeung, Yiu-Cheong, Chik, Thomas, Pang, Joanna W. K., Wai, Abraham Ka-chung, Kuo, Michael D., Lam, Tina P. W., Khong, Pek-Lan, Cheung, Ngai-Tseung, Vardhanabhuti, Varut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270945/
https://www.ncbi.nlm.nih.gov/pubmed/34244563
http://dx.doi.org/10.1038/s41598-021-93719-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270945/
https://www.ncbi.nlm.nih.gov/pubmed/34244563
http://dx.doi.org/10.1038/s41598-021-93719-2

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