Using Machine Learning of Clinical Data to Diagnose COVID-19
Using Machine Learning of Clinical Data to Diagnose COVID-19
Abstract The recent pandemic of Coronavirus Disease 2019 (COVID-19) has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests. In this study, we propose to generate a more accurate diagnosis model of COVID-19 based on patient symptoms and routine test results by applying machine learning to reanalyzing COVID-19 data from 151 published studies. We aimed to investigate correlations between clinical variables, cluster COVID-19 patients into subtypes, and generate a computational classification model for discriminating between COVID ?19 patients and influenza patients based on clinical variables alone. We discovered several novel associations between clinical variables, including correlations between being male and having higher levels of serum lymphocytes and neutrophils. We found that COVID-19 patients could be clustered into subtypes based on serum levels of immune cells, gender, and reported symptoms. Finally, we trained an XGBoost model to achieve a sensitivity of 92.5% and a specificity of 97.9% in discriminating COVID-19 patients from influenza patients. We demonstrated that computational methods trained on large clinical datasets could yield ever more accurate COVID-19 diagnostic models to mitigate the impact of lack of testing. We also presented previously unknown COVID-19 clinical variable correlations and clinical subgroups.
Shende Neil、Chakladar Jaideep、Gnanasekar Aditi、Li Wei Tse、Apostol Lauren、Ma Jiayan、Castaneda Grant、Tsai Joseph C.、Zhang Tianyi、Kuo Selena Z.、Yu Michael Andrew、Wong Lindsay M.、Honda Thomas K.、Rajasekaran Mahadevan ?°Raj?±、Ongkeko Weg M.、Chang Eric Y.、Xu Jingyue、Lee Abby、Honda Christine O.
Department of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Medicine, Columbia University Medical CenterDepartment of Internal Medicine, Emory University School of MedicineDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Urology, University of California San Diego Urology Service, VA San Diego Healthcare SystemDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Radiology, University of California San Diego Radiology Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San DiegoDepartment of Otolaryngology-Head and Neck Surgery, University of California San Diego Research Service, VA San Diego Healthcare System San Diego
医学研究方法临床医学基础医学
COVID-19machine learningdiagnostic model
Shende Neil,Chakladar Jaideep,Gnanasekar Aditi,Li Wei Tse,Apostol Lauren,Ma Jiayan,Castaneda Grant,Tsai Joseph C.,Zhang Tianyi,Kuo Selena Z.,Yu Michael Andrew,Wong Lindsay M.,Honda Thomas K.,Rajasekaran Mahadevan ?°Raj?±,Ongkeko Weg M.,Chang Eric Y.,Xu Jingyue,Lee Abby,Honda Christine O..Using Machine Learning of Clinical Data to Diagnose COVID-19[EB/OL].(2025-03-28)[2025-08-02].https://www.medrxiv.org/content/10.1101/2020.06.24.20138859.点此复制
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