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

Infodemiology and Infoveillance (1468) Sleep Monitoring, Sleep Quality, Sleep Disorders (232) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1841)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41288, first published .
Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire

Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire

Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire

Authors of this article:

Mairav Cohen Zion1 Author Orcid Image ;   Iddo Gescheit1 Author Orcid Image ;   Nir Levy1 Author Orcid Image ;   Elad Yom-Tov2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Li J, He Z, Zhang M, Ma W, Jin Y, Zhang L, Zhang S, Liu Y, Ma S. Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method. JMIR Infodemiology 2023;3:e42721 View
  2. Downing G, Tramontozzi L, Garcia J, Villanueva E. Harnessing Internet Search Data as a Potential Tool for Medical Diagnosis: Literature Review. JMIR Mental Health 2025;12:e63149 View