A Systematic Review of Hybrid Intelligent Models for Early Detection of Diabetes Using Electronic Health Records
A systematic review of hybrid intelligent models for early diabetes detection using EHR data from 2015 to 2026 indicates that hybrid intelligent models generally outperform traditional machine learning methods by improving predictive accuracy and capturing complex nonlinear relationships in clinical data.