Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis

Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis

BackgroundType 2 Diabetes Mellitus (T2DM) remains a critical global health challenge, necessitating robust predictive models to enable early detection and personalized interventions. This study presents a comprehensive bibliometric and systematic review of 33 years (1991-2024) of research on machine...

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Bibliographic Details
Main Authors: Mahreen Kiran, Ying Xie, Nasreen Anjum, Graham Ball, Barbara Pierscionek, Duncan Russell
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Digital Health
Subjects:
type 2 diabetes mellitus (T2DM)
machine learning (ML)
artificial intelligence (AI)
bibliometric analysis
predictive models
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1557467/full
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