2026-04-17T16:06:47Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.14342/54042025-07-13T07:37:17Zcom_2072_482405com_2072_183628col_2072_482415

SARS-CoV-2 impact on diabetes type 1 patients using "hybrid closed-loop” artificial pancreas Peiro, Joan Carles Diabetis Diabetis--Tractament COVID-19 (Malaltia) Aprenentatge automàtic 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. 2025-07-13T07:37:17Z 2025-07-13T07:37:17Z 2025-07-13T07:37:17Z 2021-05-31 info:eu-repo/semantics/conferenceObject 1557-8593 http://hdl.handle.net/20.500.14342/5404 http://doi.org/10.1089/dia.2021.2525.abstracts eng 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 info:eu-repo/semantics/openAccess © 2025 Sage Publications. Tots els drets reservats Mary Ann Liebert, Inc. Publishers