This paper is in the following e-collection/theme issue:

Public Health Informatics (93) JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Machine Learning (1465) Artificial Intelligence (1371) Opioid and Related Substance Misuse (147) Substance Abuse (419) Electronic Health Records (1053) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (573)

Published on in Vol 8, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38158, first published .
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

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

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

Authors of this article:

Hale M Thompson1, 2 Author Orcid Image ;   Brihat Sharma1 Author Orcid Image ;   Dale L Smith1 Author Orcid Image ;   Sameer Bhalla3 Author Orcid Image ;   Ihuoma Erondu1 Author Orcid Image ;   Aniruddha Hazra4 Author Orcid Image ;   Yousaf Ilyas1 Author Orcid Image ;   Paul Pachwicewicz1 Author Orcid Image ;   Neeral K Sheth5 Author Orcid Image ;   Neeraj Chhabra6 Author Orcid Image ;   Niranjan S Karnik1 Author Orcid Image ;   Majid Afshar7 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Li C, Mowery D, Ma X, Yang R, Vurgun U, Hwang S, Donnelly H, Bandhey H, Senathirajah Y, Visweswaran S, Sadhu E, Akhtar Z, Getzen E, Freda P, Long Q, Becich M. Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions. Journal of Clinical and Translational Science 2024;8(1) View