Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis.

ABSTRACT:

Background

The use of machine learning and deep learning techniques in the research on diabetes has garnered attention in recent times. Nonetheless, few studies offer a thorough picture of the knowledge generation landscape in this field. To address this, a bibliometric analysis of scientific articles published from 2000 to 2022 was conducted to discover global research trends and networks and to emphasize the most prominent countries, institutions, journals, articles, and key topics in this domain.

Methods

The Scopus database was used to identify and retrieve high-quality scientific documents. The results were classified into categories of detection (covering diagnosis, screening, identification, segmentation, among others), prediction (prognosis, forecasting, estimation),

SUBMITTER: Garcia-Jaramillo M 

PROVIDER: S-EPMC10973853 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature