A Review of Advances in Modeling and Prediction of Blood Glucose Level in Diabetes Mellitus
Date
2019-04
Authors
Asaolu, O.S
Fashanu, T.A
Fasanmade, O.A
Orieke, N.O
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Diabetes Mellitus as a metabolic disorder is quite intricate to model because it is dependent on several factors; the phenomenon is nonlinear and dynamic in nature. More so, the factors that affect blood glucose level in diabetes mellitus are patient specific. A comprehensive review of advances in modeling and prediction of blood glucose level in diabetes mellitus using mathematical models is provided in this work. This will reveal the extent of research geared towards understanding the physics behind variations in blood glucose level in diabetes mellitus hence, charting the course for
future studies.
Description
Scholarly articles
Keywords
Diabetes Mellitus (DM), Insulin, Blood Glucose Level (BGL), Type 1 Diabetes Mellitus (T1DM) , Diabetes Mellitus (DM) , Insulin , Blood Glucose Level (BGL) , Type 1 Diabetes Mellitus (T1DM) , Research Subject Categories::MEDICINE
Citation
Asaolu OS, Fashanu TA, Fasanmade OA, Orieke NO. Review of Advances in Modeling and Prediction of Blood Glucose Level in Diabetes Mellitus. Innovations and Advances in Emerging Technologies: Festschrift in honour of Distinguished Professor Oye Ibidapo-Obe