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

BACKGROUND: Sleep disorders are experienced by up to 40% of the population but their diagnosis is often delayed by the availability of specialists. OBJECTIVE: We propose the use of search engine activity in conjunction with a validated web-based sleep questionnaire to facilitate wide-scale screening...

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Detalles Bibliográficos
Autores principales: Cohen Zion, Mairav, Gescheit, Iddo, Levy, Nir, Yom-Tov, Elad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730212/
https://www.ncbi.nlm.nih.gov/pubmed/36416870
http://dx.doi.org/10.2196/41288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730212/
https://www.ncbi.nlm.nih.gov/pubmed/36416870
http://dx.doi.org/10.2196/41288

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