SARS-CoV-2 impact on diabetes type 1 patients using "hybrid closed-loop” artificial pancreas

Other authors

Universitat Ramon Llull. La Salle

Publication date

2021-05-31



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

Pages

4 p.

Publisher

Mary Ann Liebert, Inc. Publishers

Published in

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

This item appears in the following Collection(s)

La Salle [1097]