Open AccessProposal for a Methodology to Create an Artificial Pancreas for the Control of Type 1 Diabetes using Machine Learning and Automated Insulin Dosing Systems (AID)
Author(s) -
Rodrigo Vilanova,
Anderson Jefferson Cerqueira
Publication year - 2021
Publication title -
natural language processing
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.112316
Subject(s) - artificial pancreas , type 1 diabetes , insulin , diabetes mellitus , dosing , control (management) , medicine , computer science , insulin pump , machine learning , work (physics) , artificial intelligence , endocrinology , engineering , mechanical engineering
The number of children, adolescents, and adults living with diabetes increases annually due to the lack of physical activity, poor diet habits, stress, and genetic factors, and there are greater numbers in low-income countries. Therefore, the aim of this article is to present a proposal for a methodology for developing a pancreas using artificial intelligence to control the required doses of insulin for a patient with type 1 diabetes (T1D), according to data received from monitoring sensors. The information collected can be used by physicians to make medication changes and improve patients’ glucose control using insulin pumps for optimum performance. Therefore, using the model proposed in this work, the patient is offered a gain in glucose control and, therefore, an improvement in quality of life, as well as in the costs related to hospitalization.