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

Formative Evaluation of Digital Health Interventions (2193) Gender Dysphoria and Transgender Issue (3) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Machine Learning (1370) Natural Language Processing (636) Natural Language Processing (27)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47256, first published .
Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study

Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study

Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study

Authors of this article:

Cory J Cascalheira1, 2 Author Orcid Image ;   Ryan E Flinn3, 4 Author Orcid Image ;   Yuxuan Zhao1 Author Orcid Image ;   Dannie Klooster5 Author Orcid Image ;   Danica Laprade6 Author Orcid Image ;   Shah Muhammad Hamdi7 Author Orcid Image ;   Jillian R Scheer2 Author Orcid Image ;   Alejandra Gonzalez8 Author Orcid Image ;   Emily M Lund9, 10 Author Orcid Image ;   Ivan N Gomez1 Author Orcid Image ;   Koustuv Saha11 Author Orcid Image ;   Munmun De Choudhury12 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Cascalheira C, Pugh T, Hong C, Birkett M, Macapagal K, Holloway I. Developing technology-based interventions for infectious diseases: ethical considerations for young sexual and gender minority people. Frontiers in Reproductive Health 2023;5 View