2026-04-17T07:33:59Zhttps://recercat.cat/oai/request

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

00925njm 22002777a 4500 dc Peiro, Joan Carles author 2021-05-31 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. 1557-8593 http://hdl.handle.net/20.500.14342/5404 http://doi.org/10.1089/dia.2021.2525.abstracts Diabetis Diabetis--Tractament COVID-19 (Malaltia) Aprenentatge automàtic SARS-CoV-2 impact on diabetes type 1 patients using "hybrid closed-loop” artificial pancreas