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Online Health Consultation (OHC) platforms serve as a widely used communication tool, offering integrated support for medical guidance and disease management. By examining OHC interactions, this study explores the concerns and difficulties experienced by UTI patients to better understand their perspectives.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data from 20,000 anonymized UTI-related records (2020\u20132024) were obtained from a major Chinese online healthcare platform, Good Doctor Online. Analysis occurred in two stages: BERTopic extracted key themes and keywords from text data, followed by sentiment analysis of these findings using a generative AI language model. All data was publicly accessible and de-identified.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Analysis of 18,479 cleaned records using BERTopic identified six key themes: \u201cPolite Expressions for Consultation,\u201d \u201cSymptom and Management Challenges,\u201d \u201cDifferential Diagnosis of Cystitis,\u201d \u201cEtiology Related to Sexual Activity,\u201d \u201cNocturnal Symptoms and Fever,\u201d and \u201cPerinatal Considerations.\u201d Sentiment analysis showed predominantly negative emotions, reflecting the condition's substantial physical and mental toll. The \u201cEtiology Related to Sexual Activity\u201d theme had the highest negativity (97%), while \u201cPolite Expressions for Consultation\u201d showed the most positivity (9%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These research results highlight the important role of online communities in providing support and information to patients, and the insights derived from this study can provide valuable reference for social media developers, medical service providers, and policymakers.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076251393289","type":"journal-article","created":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:31:44Z","timestamp":1761665504000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Personalized insights into urinary tract infection management: A text mining analysis of online consultation data"],"prefix":"10.1177","volume":"11","author":[{"given":"Ruijie","family":"Tang","sequence":"first","affiliation":[{"name":"Nanjing University of Chinese Medicine"},{"name":"Jiangsu Province Hospital of Chinese Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peiqi","family":"Zhu","sequence":"additional","affiliation":[{"name":"Nanjing University of Chinese Medicine"},{"name":"Jiangsu Province Hospital of Chinese Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruxue","family":"Yan","sequence":"additional","affiliation":[{"name":"Nanjing University of Chinese Medicine"},{"name":"Jiangsu Province Hospital of Chinese Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaping","family":"Zhou","sequence":"additional","affiliation":[{"name":"Nanjing University of Chinese Medicine"},{"name":"Jiangsu Province Hospital of Chinese Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhian","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Yangzhou University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2775-0666","authenticated-orcid":false,"given":"Weiming","family":"He","sequence":"additional","affiliation":[{"name":"Jiangsu Province Hospital of Chinese Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,10,28]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41391-022-00610-w"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2021.03.016"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1177\/1756287219832172"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1080\/14737167.2017.1359543"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12905-022-01757-3"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0277728"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.healthpol.2018.09.019"},{"key":"e_1_3_3_9_2","first-page":"157","article-title":"Health information adoption behavior research \u2014\u2014 conceptualization, theoretical framework, and future directions","volume":"44","author":"Meng M","year":"2024","unstructured":"Meng M, You J, Liu C, et al. 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