AI-Based Models for Predicting the Risk of Developing Diabetes

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication15th International Conference on Information, Intelligence, Systems and Applications, IISA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9798350368833
ISBN (Print)9798350368840
DOIs
Publication statusPublished - 18 Dec 2024
Event15th International Conference on Information, Intelligence, Systems and Applications - Chania, Greece
Duration: 17 Jul 202420 Jul 2024

Conference

Conference15th International Conference on Information, Intelligence, Systems and Applications
Abbreviated titleIISA 2024
Country/TerritoryGreece
CityChania
Period17/07/2420/07/24

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