Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining

Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining

Psychosocial rehabilitation and psychosocial disability research have been a longstanding topic in healthcare, demanding continuous exploration and analysis to enhance patient and clinical outcomes. As the prevalence of psychosocial disability research continues to attract scholarly attention, many...

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Bibliographic Details
Main Authors: Soheyla Amirian, Ashutosh Kekre, Boby John Loganathan, Vedraj Chavan, Punith Kandula, Nickolas Littlefield, Joseph R. Franco, Ahmad P. Tafti, Ikenna D. Ebuenyi
Format: Article
Language:English
Published: Cambridge University Press 2024-01-01
Series:Cambridge Prisms: Global Mental Health
Subjects:
psychosocial disability research
psychosocial rehabilitation
computational text mining
large language models (LLMs)
Online Access:https://www.cambridge.org/core/product/identifier/S2054425124001146/type/journal_article
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https://www.cambridge.org/core/product/identifier/S2054425124001146/type/journal_article

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