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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.