Knowledge structure and global trends of machine learning in stroke over the past decade: A scientometric analysis.

ABSTRACT:

Objective

Machine learning (ML) models have been widely applied in stroke prediction, diagnosis, treatment, and prognosis assessment. We aimed to conduct a comprehensive scientometrics analysis of studies related to ML in stroke and reveal its current status, knowledge structure, and global trends.

Methods

All documents related to ML in stroke were retrieved from the Web of Science database on March 15, 2023. We refined the documents by including only original articles and reviews in the English language. The literature published over the past decade was imported into scientometrics software for influence detection and collaborative network analysis.

Results

2389 related publications were included. The annual publication outputs demonstrated explosive growth, with an

SUBMITTER: Wu M 

PROVIDER: S-EPMC10823080 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature