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Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests. METHODS: In this study, we propose to generate a more accurate diagnosis model of COVID-19 based on patient sym...
Autores principales: | Li, Wei Tse, Ma, Jiayan, Shende, Neil, Castaneda, Grant, Chakladar, Jaideep, Tsai, Joseph C., Apostol, Lauren, Honda, Christine O., Xu, Jingyue, Wong, Lindsay M., Zhang, Tianyi, Lee, Abby, Gnanasekar, Aditi, Honda, Thomas K., Kuo, Selena Z., Yu, Michael Andrew, Chang, Eric Y., Rajasekaran, Mahadevan “ Raj”, Ongkeko, Weg M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522928/ https://www.ncbi.nlm.nih.gov/pubmed/32993652 http://dx.doi.org/10.1186/s12911-020-01266-z |
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