dc.contributor
Universitat Ramon Llull. La Salle
dc.contributor.author
Peiro, Joan Carles
dc.date.accessioned
2025-07-13T07:37:17Z
dc.date.available
2025-07-13T07:37:17Z
dc.date.issued
2021-05-31
dc.identifier.issn
1557-8593
dc.identifier.uri
https://hdl.handle.net/20.500.14342/5404
dc.description.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.
dc.publisher
Mary Ann Liebert, Inc. Publishers
dc.relation.ispartof
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
dc.rights
© 2025 Sage Publications. Tots els drets reservats
dc.subject
Diabetis--Tractament
dc.subject
COVID-19 (Malaltia)
dc.subject
Aprenentatge automàtic
dc.title
SARS-CoV-2 impact on diabetes type 1 patients using "hybrid closed-loop” artificial pancreas
dc.type
info:eu-repo/semantics/conferenceObject
dc.description.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
http://doi.org/10.1089/dia.2021.2525.abstracts
dc.rights.accessLevel
info:eu-repo/semantics/openAccess
