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 thereby prevention. Along with predicting and explaining patient results it also provides an interface for management of diabetes risk wherein patients can track their risk level analysis live in real-time also. This system is meant to help high diabetes risk individuals such as people who suffered a transient ischemic attack efficiently monitor their risk levels and hence be able to take the requisite precaution.

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