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

Formative Evaluation of Digital Health Interventions (2820) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1789) Infodemiology and Infoveillance (1455) Obstetrics, Gynecology, and Reproductive Medicine (277)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44810, first published .
Comparing Literature- and Subreddit-Derived Laboratory Values in Polycystic Ovary Syndrome (PCOS): Validation of Clinical Data Posted on PCOS Reddit Forums

Comparing Literature- and Subreddit-Derived Laboratory Values in Polycystic Ovary Syndrome (PCOS): Validation of Clinical Data Posted on PCOS Reddit Forums

Comparing Literature- and Subreddit-Derived Laboratory Values in Polycystic Ovary Syndrome (PCOS): Validation of Clinical Data Posted on PCOS Reddit Forums

Authors of this article:

Rebecca H K Emanuel1 Author Orcid Image ;   Paul D Docherty1 Author Orcid Image ;   Helen Lunt2, 3 Author Orcid Image ;   Rebecca E Campbell4 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Emanuel R, Docherty P, Lunt H, Murray R, Campbell R. Clustering polycystic ovary syndrome laboratory results extracted from a large internet forum with machine learning. Intelligence-Based Medicine 2024;9:100135 View
  2. Graca S, Alloh F, Lagojda L, Dallaway A, Kyrou I, Randeva H, Kite C. Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review. Healthcare 2024;12(16):1671 View
  3. Emanuel R, Docherty P, Lunt H, Campbell R, Moeller K. Extracting Features and Sentiment from Text Posts and Comments Relating to Polycystic Ovary Syndrome. IFAC-PapersOnLine 2024;58(24):19 View
  4. Bologna F, Thalken R, Pepin K, Wilkens M. Endometriosis Communities on Reddit: Quantitative Analysis. Journal of Medical Internet Research 2025;27:e57987 View
  5. Emanuel R, Docherty P, Lunt H, Campbell R. What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning. Physical and Engineering Sciences in Medicine 2025 View