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Dataset Information

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


ABSTRACT:

Objectives

Urinary tract infections (UTIs) frequently affect individuals of all ages, necessitating antibiotic treatment and medical care, which can impair quality of life and cause psychological strain. 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.

Methods

Data from 20,000 anonymized UTI-related records (2020-2024) 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 analysi

SUBMITTER: Tang R 

PROVIDER: S-EPMC12576097 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature