2026-04-17T01:50:53Zhttps://recercat.cat/oai/requestoai:recercat.cat:20.500.14342/54042025-07-13T07:37:17Zcom_2072_482405com_2072_183628col_2072_482415
RECERCAT
author
Peiro, Joan Carles
2025-07-13T07:37:17Z
2025-07-13T07:37:17Z
2021-05-31
1557-8593
http://hdl.handle.net/20.500.14342/5404
http://doi.org/10.1089/dia.2021.2525.abstracts
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.
eng
© 2025 Sage Publications. Tots els drets reservats
Diabetis
Diabetis--Tractament
COVID-19 (Malaltia)
Aprenentatge automàtic
SARS-CoV-2 impact on diabetes type 1 patients using "hybrid closed-loop” artificial pancreas
info:eu-repo/semantics/conferenceObject