{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:49:44Z","timestamp":1782989384227,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"abstract":"<jats:p>Social media-based Mental Health (MH) informatics often focuses on disorder detection, overlooking psychological aspects like coping mechanisms and stressors. Furthermore, user-generated texts, although contains MH signals at scale, lack clinical validation. This paper presents a two-stage framework for mental coping detection that combines a coping strategy classifier and a Retrieval-Augmented Generation (RAG) system. The coping classifier identifies coping strategies from user text, while the RAG generates responses grounded in expert-validated knowledge bases and the coping labels. A pilot study demonstrates that the classifier achieves 79.7% accuracy and 0.797 weighted F1 on a held-out dataset. The RAG system produces structured, readable, and expert-verified responses. The classifier-conditioned RAG architecture provides responses grounded in validated psychological knowledge, offering a scalable approach to bridging social media data with evidence-based insights.<\/jats:p>","DOI":"10.3233\/shti260855","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:01:08Z","timestamp":1782986468000},"source":"Crossref","is-referenced-by-count":0,"title":["An Intelligent LLM-Based Mental Coping Detection Framework"],"prefix":"10.3233","author":[{"given":"Ali","family":"Alsaifi","sequence":"first","affiliation":[{"name":"College of Science and Engineering - Hamad bin Khalifa University - Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5399-3191","authenticated-orcid":false,"given":"Altaf","family":"Alfarhan","sequence":"additional","affiliation":[{"name":"Information Science Department - Kuwait University - Kuwait"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5938-2953","authenticated-orcid":false,"given":"Shaikhah","family":"Alkhadhr","sequence":"additional","affiliation":[{"name":"Information Science Department - Kuwait University - Kuwait"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6998-3561","authenticated-orcid":false,"given":"Loulwah","family":"AlSumait","sequence":"additional","affiliation":[{"name":"Information Science Department - Kuwait University - Kuwait"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hassah","family":"Alheneidi","sequence":"additional","affiliation":[{"name":"College of Integrative Studies - Abdullah AlSalem University - Kuwait"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ranya","family":"Alawadhi","sequence":"additional","affiliation":[{"name":"Information Science Department - Kuwait University - Kuwait"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:01:09Z","timestamp":1782986469000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260855"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260855","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}