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 1 diabetes To this end, inthis paper, we present a review of deep learning methods that areutilized for blood glucose prediction in Type 1 diabetes
کلیدواژهها
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
شیوه ارجاع
Behrouz Dehkordi, Zahra and Movahednejad, Homa and Sharifi, Mahdi,1401,Blood Glucose Prediction for Type 1 Diabetes Patients with Deep Learning: A Review,Second International Conference on Computer Engineering and Science,Najafabad
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی مهندسی و علوم کامپیوتر29 آذر 1401 · نجف آباد