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Dataset Information

Perceptions and Responses to Diseases among Patients with Inflammatory Bowel Disease: Text Mining Analysis of Posts on a Japanese Patient Community Website.


ABSTRACT:

Introduction

Patients with inflammatory bowel disease (IBD) are increasingly using online platforms to communicate with other patients and healthcare professionals seeking disease-related information and support. Free-text posts on these platforms could provide insights into patients' everyday lives, which could help improve patient care. In this proof-of-concept (POC) study, we applied text mining to extract patient needs from free-text posts on a community forum in Japan, holistically visualized the patients' perceptions and their connections, and explored the patient characteristic-dependent trends in the use of words.

Methods

Free-text posts written between May 11, 2020 and May 31, 2022 on the community forum were retrieved and subjected to text mining analysis. Trends i

SUBMITTER: Lee E 

PROVIDER: S-EPMC11620774 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature