Safety and Feasibility of the PEPPER Adaptive Bolus Advisor and Safety System: A Randomized Control Study.

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作者： Parizad,Avari ^[1] ; Yenny,Leal ^[2] ; Pau,Herrero ^[3] ; Marzena,Wos ^[2] ; Narvada,Jugnee ^[1] ; María,Arnoriaga-Rodríguez ^[2] ; Maria,Thomas ^[1] ; Chengyuan,Liu ^[3] ; Quim,Massana ^[4] ; Beatriz,Lopez ^[5] ; Lucian,Nita ^[5] ; Clare,Martin ^[6] ; José Manuel,Fernández-Real ^[7] ; Nick,Oliver ^[2] ; Mercè,Fernández-Balsells ^[8] ; Monika,Reddy ^[9]

作者单位： Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom. ^[1] Diabetes, Endocrinology and Nutrition Unit, Hospital Universitari Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona, Girona, Spain. ^[2] Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom. ^[3] Centre for Aerospace Manufactuiring, University of Nottingham, London, United Kingdom. ^[4] eXiT Research Group, Institut d'Informàtica i Aplicacions, University of Girona, Girona, Spain. ^[5] Department of Research & Development, RomSoft SRL, Iasi, Romania. ^[6] School of Engineering, Computing, and Mathematics, Oxford Brookes University, Oxford, United Kingdom. ^[7] Department of Medical Sciences, Faculty of Medicine, University of Girona, Girona, Spain. ^[8] CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain. ^[9]

关键词 Adaptive bolus calculator Artificial intelligence Case-based reasoning PEPPER Personalized carbohydrate recommendations Predictive glucose alarms Predictive low-glucose suspend Type 1 diabetes