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

New Methods (964) Machine Learning (1505) Influenza and Influenza-Like-Illness (ILI) Surveillance (219) Digital Biomarkers and Digital Phenotyping (198) mHealth for Screening (222)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21369, first published .
Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study

Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study

Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study

Authors of this article:

Hyunwoo Choo1 Author Orcid Image ;   Myeongchan Kim2 Author Orcid Image ;   Jiyun Choi2 Author Orcid Image ;   Jaewon Shin2 Author Orcid Image ;   Soo-Yong Shin1, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (5) Metrics

Hyunwoo Choo   1 , BSc ;   Myeongchan Kim   2 , MD ;   Jiyun Choi   2 ;   Jaewon Shin   2 , MD ;   Soo-Yong Shin   1, 3 , PhD

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

2 Mobile Doctor, Seoul, Republic of Korea

3 Big Data Research Center, Samsung Medical Center, Seoul, Republic of Korea

Corresponding Author:

  • Soo-Yong Shin, PhD
  • Department of Digital Health
  • Samsung Advanced Institute for Health Sciences and Technology
  • Sungkyunkwan University
  • 115, Irwon-ro, Gangnam-gu
  • Seoul
  • Republic of Korea
  • Phone: 82 2-3410-1449
  • Email: sy.shin@skku.edu