Diabetes Risk Predictor System

Diabetes is a complicated chronic disease that can be diagnosed at a hospital. It is imperative to have a smart system that can help with early diabetes prediction or detection and hence assist clinicians in diabetes risk management.

The Diabetes Risk Predictor System effectively employs machine learning and the use of explainable artificial intelligence in order to create a framework for diabetes risk monitoring and prevention. Along with predicting and explaining patient results, it also provides an interface for management of diabetes risk where patients can track their risk level analysis live in real time.

The results from the study show that this Diabetes Risk Predictor System can predict diabetes risk levels and subsequently provide meaningful insights on diabetes risk factors that can assist clinicians with better diabetes risk management based on the proposed framework.