#MyIBDHistory on Twitter: Identifying Disease Characteristics Using Personal Tweets

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Inflammatory bowel disease (IBD) is usually classified into Crohn's disease (CD) or ulcerative colitis (UC). Inconclusive cases are diagnosed with IBD unclassified (IBD-U). In 2018, IBD patients shared their disease history on Twitter and signed their tweets with #MyIBDHistory. In this research, we analyzed those tweets and built a logistic regression classifier that predicts patients' IBD type. We constructed tabular classification features and assessed their importance using the regression coefficients and association rules. We identified key features that distinguished CD from UC and used the classifier to predict the disease type of IBD-U patients. Our results correlated with IBD-related research. The two most prominent features that tilted the classification towards CD were suffering from fistulas or nutrient deficiencies. We identified gender differences in disease perspective prior to diagnosis. The research shows that the personal information shared by patients on Twitter can enhance existing medical knowledge regarding their disease.

Original languageEnglish
Title of host publicationProceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023
EditorsTung X. Bui
PublisherInstitute of Electrical and Electronics Engineers
Pages3316-3325
Number of pages10
ISBN (Electronic)9780998133164
StatePublished - 3 Jan 2023
Event56th Annual Hawaii International Conference on System Sciences, HICSS 2023 - Virtual, Online, United States
Duration: 3 Jan 20236 Jan 2023

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2023-January
ISSN (Print)1530-1605

Conference

Conference56th Annual Hawaii International Conference on System Sciences, HICSS 2023
Country/TerritoryUnited States
CityVirtual, Online
Period3/01/236/01/23

Keywords

  • Association Rules
  • Data Analysis
  • IBD
  • Logistic Regression
  • Twitter

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of '#MyIBDHistory on Twitter: Identifying Disease Characteristics Using Personal Tweets'. Together they form a unique fingerprint.

Cite this