Systematic review identifies gaps in non-social media mental health datasets

A systematic review, following PRISMA methodology, has identified and analyzed free-text datasets for mental health disorder detection that do not originate from social media. The review found that existing non-social media datasets are primarily in English and focus on detecting depression, with variations in demographics, data types, and annotation techniques. The study highlights significant gaps in current resources and points to opportunities for developing more diverse, reliable, and clinically relevant datasets. AI

IMPACT Highlights opportunities for developing more diverse and reliable datasets for mental health research using NLP and ML.

RANK_REASON The item is a systematic review of available datasets for a research topic, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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