Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis

Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis

Abstract 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 pati...

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Bibliographic Details
Main Authors: Wei Tse Li, Jiayan Ma, Neil Shende, Grant Castaneda, Jaideep Chakladar, Joseph C. Tsai, Lauren Apostol, Christine O. Honda, Jingyue Xu, Lindsay M. Wong, Tianyi Zhang, Abby Lee, Aditi Gnanasekar, Thomas K. Honda, Selena Z. Kuo, Michael Andrew Yu, Eric Y. Chang, Mahadevan “ Raj” Rajasekaran, Weg M. Ongkeko
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
COVID-19
Machine learning
Diagnostic model
Online Access:http://link.springer.com/article/10.1186/s12911-020-01266-z

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http://link.springer.com/article/10.1186/s12911-020-01266-z

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