AI-Based Models for Predicting the Risk of Developing Diabetes

Sotiris Batsakis, Bakhtiar Amen, Grigoris Antoniou, Steven Howard, Paul Rhys-Vivian, Gemma Gardner

Abstract: Diabetes is a serious condition affecting hundreds of millions of people worldwide. Diabetic risk prediction is an important task and preliminary risk assessments are crucial for clinicians for achieving prioritization of diabetes cases and for examining cases with higher risk first In this work we collect and analyse podiatry data related to diabetes prediction and develop and evaluate Machine Learning models using the created dataset for providing preliminary assessments of diabetes risk and help clinicians on the task of prioritizing cases according to the predicted risk.

External IDs:dblp:conf/iisa/BatsakisAAHRG24