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

Foundations of AI (64) Research Methodology - AI (46) Epidemiology (207) Research Methodology - AI (46) Public (e)Health, Digital Epidemiology and Public Health Informatics (1081) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (101) Epidemiology (207) Research Methodology - AI (46) Theme Issue: Medical Informatics and COVID-19 (126) Public (e)Health, Digital Epidemiology and Public Health Informatics (1081) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (101) Epidemiology (207) Research Methodology - AI (46) Theme Issue: Medical Informatics and COVID-19 (126) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (146) Public (e)Health, Digital Epidemiology and Public Health Informatics (1081) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (101)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54956, first published .
Enhancing COVID-19 Screening Models With Epidemiological and Mobility Features: Machine-Learning Model Study

Enhancing COVID-19 Screening Models With Epidemiological and Mobility Features: Machine-Learning Model Study

Enhancing COVID-19 Screening Models With Epidemiological and Mobility Features: Machine-Learning Model Study

Authors of this article:

Hyunwoo Choo1 Author Orcid Image ;   Dohyung Lee2 ;   Soo-Yong Shin1 Author Orcid Image ;   Jiwoo Lee2 Author Orcid Image ;   Duhun Lee2 ;   Eonji Kim2 Author Orcid Image ;   Namsoo Oh2 ;   Christina Kim2 ;   Myeongchan Kim2 Author Orcid Image ;   Hyo Jung Kim3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hyunwoo Choo   1 , PhD ;   Dohyung Lee   2 , BS ;   Soo-Yong Shin   1 , PhD ;   Jiwoo Lee   2 , LLB ;   Duhun Lee   2 , BS ;   Eonji Kim   2 , BA ;   Namsoo Oh   2 , MS ;   Christina Kim   2 , MPhil ;   Myeongchan Kim   2 * , MD ;   Hyo Jung Kim   3 * , PhD

1 Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea

2 Mobile Doctor Co., Ltd, Seoul, Republic of Korea

3 Department of Biomedical Software Engineering, The Catholic University of Korea, Gyeonggi-do, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hyo Jung Kim, PhD
  • Department of Biomedical Software Engineering
  • The Catholic University of Korea
  • 43 Jibong-ro, Wonmi-gu, Bucheon-si
  • Gyeonggi-do 14662
  • Republic of Korea
  • Phone: +82-10-3093-1790
  • Email: hyojung.kim@catholic.ac.kr