Accessing Glucose concentration using neural networks of Type 1 Diabetic Children
- By Zhang Yong - 27 Mar 2022
- Journal of Applied Health Sciences and Medicine, Volume: 2, Issue: 1, Pages: 1 - 7
- Received: 21 January 2022; Accepted: 13 February 2022; Published: 27 March 2022
Diabetes mellitus is an incurable illness that is growing at an alarming rate worldwide. The complications associated with diabetes can be reduced by managing the illness by continuing to monitor and predict level of glucoses in sufferers' blood. To predict glucose and insulin metabolism, representation are based on the combined use of CMs also known as Compartmental Representationand NNs or Neural Networks. Data from 4 children with Type-1 stored on a glucose database get use modelling.
Keywords: Diabetes mellitus, Neural Networks, Insulin, Hypoglycemia, Hyperglycemia