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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65469, first published .
Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study

Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study

Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study

Journals

  1. Hedges M, Hewings-Martin Y, Karam J, Castaneda R, Cunningham A, Xu Y, Zhaunova L, Faubion S, Shufelt C. Global perspectives on perimenopause: a digital survey of knowledge and symptoms using the Flo application. Menopause 2026 View
  2. Xu Y, Prentice C, Torres-Rueda S, Meczner A, Multmeier J, Wickham A, Kelly L, Klepchukova A, Stsefanovich H, Zhaunova L. Economic evaluation of a digital symptom checker for endometriosis using a Markov decision process model. npj Digital Medicine 2026;9(1) View