Landscape of surgery in Crohn's disease across twenty years: insights from machine learning.

ABSTRACT:

Background

Crohn's disease continues to be a major component of inflammatory bowel disease with increasing incidence and prevalence. Increasing publications of surgery in Crohn's disease have significantly expanded the research scope. The aim of this study is to characterize main topics and a full landscape of surgery in Crohn's disease.

Methods

Studies of surgery in Crohn's disease from 2000 to 2020 were screened and retrieved from the Web of Science Core Collection database. Latent Dirichlet allocation (LDA), one of machine-learning algorithms for natural language processing, was employed for topic modeling. All the studies were processed, analyzed and visualized by R software, CiteSpace and Gephi.

Results

A total of 3,697 original publications were identified from

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC11535804 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature