Therapy-driven Deep Glucose Forecasting-Reference-Cited by-同舟云学术

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Therapy-driven Deep Glucose Forecasting

Published:2020-01 Issue: Volume:87 Page:103255
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Aiello Eleonora Maria,Lisanti Giuseppe,Magni Lalo,Musci Mirto,Toffanin Chiara

Funder

Italian project PRIN15: “Forget Diabetes: Adaptive Physiological Artificial Pancreas”

Italian project “Fondi per il Finanziamento delle Attività Base di Ricerca”

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference64 articles.

1. A recurrent neural network approach for predicting glucose concentration in type-1 diabetic patients;Allam,2011

2. Multinational home use of closed-loop control is safe and effective;Anderson;Diabetes Care,2016

3. Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids;Baghban;Eng. Appl. Comput. Fluid Mech.,2019

4. Day-and-night glycaemic control with closed-loop insulin delivery versus conventional insulin pump therapy in free-living adults with well controlled type 1 diabetes: an open-label, randomised, crossover study;Bally;Lancet Diabetes Endocrinol.,2017

5. Safety of a hybrid closed-loop insulin delivery system in patients with type 1 diabetes;Bergenstal;JAMA,2016

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Personalized LSTM-Based Alarm Systems for Hypoglycemia Prevention in an Intraperitoneal Artificial Pancreas;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11

2. Recent trends and techniques of blood glucose level prediction for diabetes control;Smart Health;2024-06

3. Model Predictive Control (MPC) of an artificial pancreas with data-driven learning of multi-step-ahead blood glucose predictors;Control Engineering Practice;2024-03

4. Blood glucose forecasting from temporal and static information in children with T1D;Frontiers in Pediatrics;2023-12-14

5. An Advanced Learning Approach for Early Stage Diabetes Detection;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

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