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

mHealth for Data Collection and Research (981) Longitudinal and Cohort Studies in Public Health (316)

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 (12) Metrics

Journals

  1. Bourke A, Dixon W, Roddam A, Lin K, Hall G, Curtis J, van der Veer S, Soriano‐Gabarró M, Mills J, Major J, Verstraeten T, Francis M, Bartels D. Incorporating patient generated health data into pharmacoepidemiological research. Pharmacoepidemiology and Drug Safety 2020;29(12):1540 View
  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