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...

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Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:BMC Med Inform Decis Mak
Κύριοι συγγραφείς: 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.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: BioMed Central 2020
Θέματα:
Research Article
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7522928/
https://ncbi.nlm.nih.gov/pubmed/32993652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-01266-z
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