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

mHealth for Data Collection and Research (907) Longitudinal and Cohort Studies in Public Health (254)

Published on in Vol 5, No 11 (2017): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7505, first published .
Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study

Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study

Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study

Authors of this article:

Annemarijn C Prins-van Ginkel1 Author Orcid Image ;   Marieke LA de Hoog1 Author Orcid Image ;   C Uiterwaal1 Author Orcid Image ;   Henriette A Smit1 Author Orcid Image ;   Patricia CJ Bruijning-Verhagen1 Author Orcid Image
Article Authors Cited by (4) Tweetations (13) Metrics

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  2. Peeters D, van Geloven N, Visser L, Bogaert D, van Rossum A, Driessen G, Verhagen L. Study protocol for a randomised controlled trial evaluating the clinical effect of antibiotic prophylaxis in children with recurrent respiratory tract infections: the Approach study. BMJ Open 2021;11(7):e044505 View
  3. Langer S, Klee B, Gottschick C, Mikolajczyk R, Usemann J. Birth cohort studies using symptom diaries for assessing respiratory diseases–a scoping review. PLOS ONE 2022;17(2):e0263559 View
  4. Ngombu S, Binol H, Gurcan M, Moberly A. Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review. Otolaryngology–Head and Neck Surgery 2023;168(4):635 View