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Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

First, we trained a Continuous Bag of Words word2vec model on the entire corpus using the word2vec package in R (R Foundation for Statistical Computing) [27]. Next, we created a mental health vector by averaging the vectors of words strongly associated with mental health (eg, therapy, psychiatry, and diagnosis; see Multimedia Appendix 1 for details). This vector was used as a reference point for identifying mental health–related language.

Vojtech Pisl, Ana-Maria Bucur, Ioana R Podina

J Med Internet Res 2025;27:e73950

Usability and Impact of the Web-Based Dementia Foundations Educational Program in Personal Support Workers (PSWs), PSW Trainees, and Care Companions: Quasi-Experimental Study

Usability and Impact of the Web-Based Dementia Foundations Educational Program in Personal Support Workers (PSWs), PSW Trainees, and Care Companions: Quasi-Experimental Study

All analyses were performed using R (version 4.4.1; R Foundation; June 14, 2024). The Hamilton Integrated Research Ethics Board reviewed the study protocol and granted exemption from full review on March 18, 2021, as this was considered a quality improvement initiative. Participants were required to provide informed consent. All participants were informed of the length of time of the e-learning and surveys, as well as details surrounding data collection, storage, and investigator identities.

Anthony J Levinson, Stephanie Ayers, Sandra Clark, Patricia Gerantonis, Amy Schneeberg, Richard Sztramko

JMIR Aging 2025;8:e67889