Implementation of a Decision Support Mechanism on a Mobile Platform Using Clinical Evidence-Based Dynamic Insulin Dosage Adjustment for Artificial Intelligence-Enabled Diabetes Care (AIDCARE) System
Year: 2025
Type: conference-paper
Abstract: Adjusting the insulin dose in patients with diabetes is crucial for maintaining optimal blood glucose levels. Currently, the insulin dose adjustment of patients registered at the Diabetes Clinic of Kocaeli University Hospital is followed manually using clinical forms, which is time-consuming and often fails to adequately account for individual variations. In this study, a rule-based insulin dose adjustment algorithm was developed based on clinical guidelines. The algorithm analyzes blood glucose levels measured at specific times over the past three days to determine the necessary insulin dose adjustments. The algorithm is implemented as part of the measurement module in a mobile application, the so-called AIDCARE application, which provides an artificial intelligence-enabled self-management tool for diabetic patients.
Authors: Ömer Faruk Üçer, Adnan Kavak, Yeliz Demirhan, Medine Uzun, Betül Savaş, Alpaslan Burak İnner, Özlem Alkan, Berrin Çetinarslan, Zeynep Cantürk, Alev Selek, Emre Gezer, Umut Yiğit, Ayaz Aktaş, Ahmet Tarık Fırat, Muhammed Ahmet Demirtaş, Göksel Okandan, Kevser Ünlü, Saliha Ünersoy, Özgür Çakır
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4413647267