Personalized insights into urinary tract infection management: A text mining analysis of online consultation data
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.
Authors
- Ran Yan (ORCID: https://orcid.org/0000-0003-0011-2259)
- Ping Zhu (ORCID: https://orcid.org/0000-0003-3977-193X)
- Zhengyuan Tang (ORCID: https://orcid.org/0009-0008-6535-0497)
- Yaping Zhou (ORCID: https://orcid.org/0000-0002-5289-6393)
- He Wei-Ming (ORCID: https://orcid.org/0009-0005-2775-0666)
- Ruijie Tang
Institutions
- Nanjing University of Chinese Medicine (CN)
- Jiangsu Province Hospital (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251393289
- Primary Topic
- Urinary Tract Infections Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00