C003

Machine Learning-Based Predictive Modelling for Type 2 Diabetes Diagnosis

Dr. Aaron Aw Teik Hong, Ridzwan Hakim Bin Salmey

AFFILIATION
Faculty of Management, Multimedia University

Description of Invention

Diabetes is a global health issue, with cases expected to rise from 463 million in 2019 to 700 million by 2045, according to the International Diabetes Federation (IDF). Malaysia faces a significant increase in diabetes cases, worsened by limited public awareness. This project uses machine learning techniques to analyze health data from the Rich Healthcare Group in China, aiming to provide insights for Malaysia's Ministry of Health to improve diabetes prevention and management. The CRISP-DM framework guides the study, from data understanding to predictive modeling, helping identify high-risk individuals and enabling timely interventions.