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 language | English |
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Title of host publication | 15th International Conference on Information, Intelligence, Systems and Applications, IISA 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 4 |
ISBN (Electronic) | 9798350368833 |
ISBN (Print) | 9798350368840 |
DOIs | |
Publication status | Published - 18 Dec 2024 |
Event | 15th International Conference on Information, Intelligence, Systems and Applications - Chania, Greece Duration: 17 Jul 2024 → 20 Jul 2024 |
Conference
Conference | 15th International Conference on Information, Intelligence, Systems and Applications |
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Abbreviated title | IISA 2024 |
Country/Territory | Greece |
City | Chania |
Period | 17/07/24 → 20/07/24 |