Blood Glucose Prediction for Type ۱ Diabetes Patients with Deep Learning: A Review

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 195

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شناسه ملی سند علمی:

ICCSE02_041

تاریخ نمایه سازی: 14 اسفند 1401

چکیده مقاله:

Diabetes mellitus, commonly known as diabetes, isa metabolic disorder characterized by a high blood glucose level.So, accurate prediction of blood glucose is vital for diabetespatients. Vast studies examined variant statistical approaches toachieve this purpose. With the growth of Artificial Intelligence(AI) and its algorithms in various healthcare fields, specifically thediabetes domain, it is used for different purposes, such as detectionand prediction of disease. To the best of our knowledge, no studyhas focused on AI-driven, especially deep learning, approachesused to predict blood glucose in Type ۱ diabetes. To this end, inthis paper, we present a review of deep learning methods that areutilized for blood glucose prediction in Type ۱ diabetes.

نویسندگان

Zahra Behrouz Dehkordi

Department of Clinical Nutrition/CommunityNutrition/ FoodSciences & Technology, School ofNutrition & Food Science,Isfahan University of MedicalSciences, Isfahan, Iran

Homa Movahednejad

Faculty of Computer Engineering,Najafabad Branch, Islamic AzadUniversity,Najafabad, Iran

Mahdi Sharifi

Faculty of Computer Engineering,Najafabad Branch, Islamic AzadUniversity,Najafabad, Iran