Subtyping irritable bowel syndrome using cluster analysis: a systematic review.

ABSTRACT:

Background

Irritable bowel syndrome (IBS) is a common chronic functional gastrointestinal disorder associated with a wide range of clinical symptoms. Some researchers have used cluster analysis (CA), a group of non-supervised learning methods that identifies homogenous clusters within different entities based on their similarity.

Objective and methods

This literature review aims to identify published articles that apply CA to IBS patients. We searched relevant keywords in PubMed, Embase, Web of Science, and Scopus. We reviewed studies in terms of the selected variables, participants' characteristics, data collection, methodology, number of clusters, clusters' profiles, and results.

Results

Among the 14 articles focused on the heterogeneity of IBS, eight of them utiliz

SUBMITTER: Zarei D 

PROVIDER: S-EPMC10724977 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature