Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study

Omid Eslami; Mohsen Nakhaie; Mohammad Rezaei Zadeh Rukerd; Maryam Azimi; Ellahe Shahabi; Amin Honarmand; Mahdiyeh Khazaneha

doi:10.1155/2023/8856736

Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study

Glob Health Epidemiol Genom. 2023 Aug 12:2023:8856736. doi: 10.1155/2023/8856736. eCollection 2023.

Authors

Omid Eslami^{1

2}, Mohsen Nakhaie¹, Mohammad Rezaei Zadeh Rukerd¹, Maryam Azimi^{1

3}, Ellahe Shahabi⁴, Amin Honarmand⁵, Mahdiyeh Khazaneha⁶

Affiliations

¹ Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.
² Clinical Research Development Unit, Afzalipour Hospital, Kerman University of Medical Sciences, Kerman, Iran.
³ Department of Traditional Medicine, School of Persian Medicine, Kerman University of Medical Sciences, Kerman, Iran.
⁴ Faculty of Management and Economics, Shahid Bahonar University, Kerman, Iran.
⁵ Department of Emergency Medicine, Afzalipour Hospital, Kerman University of Medical Sciences, Kerman, Iran.
⁶ Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran.

Abstract

Purpose: This study aims to create a science map, provide structural analysis, investigate evolution, and identify new trends in Helicobacter pylori (H. pylori) research articles.

Methods: All Helicobacter publications were gathered from the Web of Science (WoS) database from August 2010 to 2021. The data were required for bibliometric analysis. The bibliometric analysis was performed with Bibliometrix R Tool. Bibliometric data were analyzed using the Bibliometrix Biblioshiny R-package software.

Results: A total of 17,413 articles were reviewed and analyzed, with descriptive characteristics of the H. pylori literature included. In journals, 21,102 keywords plus and 20,490 author keywords were reported. These articles were also written by 56,106 different authors, with 262 being single-author articles. Most authors' abstracts, titles, and keywords included "Helicobacter-pylori." Since 2010, the total number of H. pylori-related publications has been decreasing. Gut, PLOS ONE, and Gastroenterology are the most influential H. pylori journals, according to source impact. China, the United States, and Japan are the countries with most affiliations and subjects. In addition, Seoul National University has published the most articles about H. pylori. According to the cloud word plot, the authors' most frequently used keywords are gastric cancer (GC), H. pylori, gastritis, eradication, and inflammation. "Helicobacter pylori" and "infection" have the steepest slopes in terms of the upward trend of words used in articles from 2010 to 2021. Subjects such as GC, intestinal metaplasia, epidemiology, peptic ulcer, eradication, and clarithromycin are included in the diagram's motor theme section, according to strategic diagrams. According to the thematic evolution map, topics such as Helicobacter pylori infection, B-cell lymphoma, CagA, Helicobacter pylori, and infection were largely discussed between 2010 and 2015. From 2016 to 2021, the top topics covered included Helicobacter pylori, H. pylori infection, and infection.

MeSH terms

Gastritis*
Helicobacter Infections* / epidemiology
Helicobacter pylori*
Helicobacter*
Humans
Machine Learning