Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study.

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第一作者： Hale M,Thompson

第一单位： Section of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.;Center for Education, Research, and Advocacy, Department of Social and Behavioral Research, Howard Brown Health, Chicago, IL, United States.

作者： Hale M,Thompson ^[1] ; Brihat,Sharma ^[2] ; Dale L,Smith ^[2] ; Sameer,Bhalla ^[3] ; Ihuoma,Erondu ^[2] ; Aniruddha,Hazra ^[4] ; Yousaf,Ilyas ^[2] ; Paul,Pachwicewicz ^[2] ; Neeral K,Sheth ^[5] ; Neeraj,Chhabra ^[6] ; Niranjan S,Karnik ^[2] ; Majid,Afshar ^[7]

作者单位： Section of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.;Center for Education, Research, and Advocacy, Department of Social and Behavioral Research, Howard Brown Health, Chicago, IL, United States. ^[1] Section of Community Behavioral Health, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States. ^[2] Department of Internal Medicine, Rush University Medical Center, Chicago, IL, United States. ^[3] Section of Infectious Diseases and Global Health, Department of Medicine, University of Chicago, Chicago, IL, United States. ^[4] Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States. ^[5] Department of Emergency Medicine, Rush University Medical College, Rush University Medical Center, Chicago, IL, United States. ^[6] Division of Pulmonary and Critical Care, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States. ^[7]

关键词 COVID-19 COVID-19 outcome disease severity electronic health record health outcome machine learning opioid use overdose pandemic patient data public health risk factor severity of illness substance misuse topic modeling unhealthy opioid use

主题词人类(Humans);青少年(Adolescent);成年人(Adult);回顾性研究(Retrospective Studies);镇痛药, 阿片类(Analgesics, Opioid);疾病大流行(Pandemics);横断面研究(Cross-Sectional Studies);医院死亡率(Hospital Mortality)

DOI 10.2196/38158

PMID 36265163

发布时间 2024-05-07

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JMIR public health and surveillance

2022年8卷12期

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Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study.

JMIR public health and surveillance

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JMIR public health and surveillance

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Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study.

JMIR public health and surveillance

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JMIR public health and surveillance

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