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

New Methods (909) Machine Learning (1385) Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Digital Biomarkers and Digital Phenotyping (178) mHealth for Screening (193)

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 (6) Tweetations (5) Metrics

Journals

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  6. Khatiwada P, Yang B, Lin J, Blobel B. Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy. Journal of Personalized Medicine 2024;14(3):282 View