Identifying the knowledge structure of electromagnetic fields and health research: Text network analysis and topic modeling.

ABSTRACT:

Background

With technological and scientific advancement, people are being increasingly exposed to electromagnetic fields, particularly from portable devices such as mobile phones. However, there is currently no consensus regarding the health effects of electromagnetic field exposure, despite the large amount of research conducted on this topic. This study aimed to understand the knowledge structure and trend of electromagnetic field and health research through text network analysis and topic modeling.

Methods

PubMed, Embase, and Cochrane were searched, and 3,880 articles published before June 2021 were identified. We explored the main keywords and research topics regarding electromagnetic fields and human health by constructing a network of keywords. A social network analys

SUBMITTER: Seomun G 

PROVIDER: S-EPMC9384997 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature