Personalized insights into urinary tract infection management: A text mining analysis of online consultation data

Ruijie Tang, Peiqi Zhu, Ruxue Yan, Yaping Zhou, Zhian Tang, Weiming He

Open source

DOI: 10.1177/20552076251393289
Published: 2025-05
Container: DIGITAL HEALTH
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/20552076251393289,
  title = {Personalized insights into urinary tract infection management: A text mining analysis of online consultation data},
  author = {Ruijie Tang and Peiqi Zhu and Ruxue Yan and Yaping Zhou and Zhian Tang and Weiming He},
  year = {2025},
  journal = {DIGITAL HEALTH},
  doi = {10.1177/20552076251393289},
  url = {https://doi.org/10.1177/20552076251393289}
}

RIS

TY  - JOUR
TI  - Personalized insights into urinary tract infection management: A text mining analysis of online consultation data
AU  - Ruijie Tang
AU  - Peiqi Zhu
AU  - Ruxue Yan
AU  - Yaping Zhou
AU  - Zhian Tang
AU  - Weiming He
PY  - 2025
JO  - DIGITAL HEALTH
DO  - 10.1177/20552076251393289
UR  - https://doi.org/10.1177/20552076251393289
ER  -

APA

Tang, R., Zhu, P., Yan, R., Zhou, Y., Tang, Z., & He, W. (2025). Personalized insights into urinary tract infection management: A text mining analysis of online consultation data. DIGITAL HEALTH. https://doi.org/10.1177/20552076251393289

Source records

crossref · retrieved 2026-11-05T17:47:36.088Z