#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 Hawaii International Conference on System Sciences
Subtitle of host publicationSelf-management of Chronic Diseases and Conditions
Pages3316-3325
Number of pages10
ISBN (Electronic)978-0-9981331-6-4
StatePublished - 3 Jan 2023

Keywords

  • Self-management of Chronic Diseases and Conditions
  • association rules
  • data analysis
  • ibd
  • logistic regression
  • twitter

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