SARS-CoV-2 impact on diabetes type 1 patients using "hybrid closed-loop” artificial pancreas
Author
Other authors
Publication date
2021-05-31ISSN
1557-8593
Abstract
Background and Aims Training a personalized control algorithm is the key component for an artificial pancreas (AP) solution. Most of documented applications of machine learning are for classification algorithms not for AP control. In this article, it is explained and proved that machine learning (ML) is a valid technology to produce an accurate regression control algorithm as lowcost solution to control a hybrid closed loop AP system.
Document Type
Object of conference
Document version
Accepted version
Language
English
Subject (CDU)
004 - Computer science and technology. Computing. Data processing
61 - Medical sciences
616.4 - Pathology of the lymphatic system, haemopoietic (haematopoietic) organs, endocrines
62 - Engineering. Technology in general
Pages
4 p.
Publisher
Mary Ann Liebert, Inc. Publishers
Is part of
The Official Journal of ATTD Advanced Technologies & Treatments for Diabetes Conference, 2-5 juny. Virtual Diabetes Technology & Therapeutics, Vol. 23, Suplement 2: Maig 31, 2021
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Rights
© 2025 Sage Publications. Tots els drets reservats