Integrating natural therapeutics in machine learning models for diabetes mellitus optimization
Abstract
Diabetes Mellitus is a rapidly growing global health concern that poses significant risks, if not detected and managed at an early stage. This study aims to develop a model that accurately predicts diabetes mellitus using machine learning (ML) models, namely hybrid and ensemble models. Various natural remedies that have traditionally been used to manage diabetes have also been studied. Standalone machine learning algorithms were combined as hybrid and ensemble models. Performance metrices were used to evaluate the models. This integrated approach is a complete package for diabetes management, reducing the overall cost of this life-long disease.
Fields of Study & Subjects
Artificial Intelligence in Healthcare
Machine Learning in Healthcare
Traditional Chinese Medicine Studies
Publication details
- Journal / source
- Journal of Information and Optimization Sciences
- Volume
- 47
- Issue
- 1
- Pages
- 371–398
- Publication date
- 1 January 2026