{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T15:38:25Z","timestamp":1782229105805,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"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":[[2025,8,7]]},"abstract":"<jats:p>Domestic violence, a complex public health issue, demands nuanced analysis of survivors\u2019 narratives. We propose a hybrid framework integrating Microsoft GraphRAG with GPT-4o-mini to leverage graph-based reasoning and LLM capabilities for scalable, interpretable topic modeling. Analyzing transcribed interviews, GraphRAG achieved a 0.79 coherence score (outperforming LDA, BERTopic, and TopicGPT) and 97% entity accuracy (70 entities). This approach enhances topic modeling for culturally sensitive contexts, offering improved support for survivors.<\/jats:p>","DOI":"10.3233\/shti251218","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:44:52Z","timestamp":1754567092000},"source":"Crossref","is-referenced-by-count":1,"title":["Leveraging GraphRAG with Large Language Models to Identify Help-Seeking Information Among Domestic Violence Survivors from Qualitative Interviews"],"prefix":"10.3233","author":[{"given":"Vivian","family":"Hui","sequence":"first","affiliation":[{"name":"Center for Smart Health, School of Nursing, The Hong Kon Polytechnic University"},{"name":"Health and Community Systems, School of Nursing, University of Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Law","sequence":"additional","affiliation":[{"name":"Center for Smart Health, School of Nursing, The Hong Kon Polytechnic University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaowei","family":"Guan","sequence":"additional","affiliation":[{"name":"Center for Smart Health, School of Nursing, The Hong Kon Polytechnic University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyu","family":"Feng","sequence":"additional","affiliation":[{"name":"Center for Smart Health, School of Nursing, The Hong Kon Polytechnic University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:44:53Z","timestamp":1754567093000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251218","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}