Ontology highlight
ABSTRACT: Background
Patients use social media as an alternative information source, where they share information and provide social support. Although large amounts of health-related data are posted on Twitter and other social networking platforms each day, research using social media data to understand chronic conditions and patients' lifestyles is limited.Objective
In this study, we contributed to closing this gap by providing a framework for identifying patients with inflammatory bowel disease (IBD) on Twitter and learning from their personal experiences. We enabled the analysis of patients' tweets by building a classifier of Twitter users that distinguishes patients from other entities. This study aimed to uncover the potential of using Twitter data to promote the well-being of p
SUBMITTER: Stemmer M
PROVIDER: S-EPMC9382547 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature