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

Cohen Zion M, Gescheit I, Levy N, Yom-Tov E

DOI: 10.2196/41288
Published: 2022 Nov 23
Container: Journal of medical Internet research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2196/41288,
  title = {Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire.},
  author = {Cohen Zion M and Gescheit I and Levy N and Yom-Tov E},
  year = {2022},
  journal = {Journal of medical Internet research},
  doi = {10.2196/41288},
  url = {https://doi.org/10.2196/41288}
}

RIS

TY  - JOUR
TI  - Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire.
AU  - Cohen Zion M
AU  - Gescheit I
AU  - Levy N
AU  - Yom-Tov E
PY  - 2022
JO  - Journal of medical Internet research
DO  - 10.2196/41288
UR  - https://doi.org/10.2196/41288
ER  -

APA

M, C. Z., I, G., N, L., & E, Y. (2022). Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire.. Journal of medical Internet research. https://doi.org/10.2196/41288

Source records

pubmed · retrieved 2026-11-10T05:32:44.683Z