An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning.

Zhu, Taiyu; Li, Kezhi; Kuang, Lei; Herrero, Pau; Georgiou, Pantelis

Zhu, Taiyu; Li, Kezhi; Kuang, Lei; Herrero, Pau; Georgiou, Pantelis.

Afiliação

Zhu T; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
Li K; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
Kuang L; Institute of Health Informatics, University College London, London NW1 2DA, UK.
Herrero P; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
Georgiou P; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.

Sensors (Basel) ; 20(18)2020 Sep 06.

Article em En | MEDLINE | ID: mdl-32899979

Assuntos

Diabetes Mellitus Tipo 1; Adolescente; Adulto; Algoritmos; Glicemia; Automonitorização da Glicemia; Diabetes Mellitus Tipo 1/tratamento farmacológico; Humanos; Hipoglicemiantes/uso terapêutico; Insulina; Sistemas de Infusão de Insulina

Palavras-chave

artificial intelligence; artificial pancreas; deep learning; deep neural networks; insulin bolus; reinforcement learning; type 1 diabetes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Limite: Adolescent / Adult / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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