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

Reinforcement Learning Application in Diabetes Blood Glucose Control: A Systematic Review

(2020) Miguel Tejedor et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Dynamic Rule-Based Algorithm to Tune Insulin-on-Board Constraints for a Hybrid Artificial Pancreas System

(2020) Arthur Bertachi et al.   Journal of Healthcare Engineering

Toward a Fully Automated Artificial Pancreas System Using a Bioinspired Reinforcement Learning Design: In Silico Validation

(2020) Seunghyun Lee et al.   IEEE Journal of Biomedical and Health Informatics

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation

(2020) Taiyu Zhu et al.   IEEE Journal of Biomedical and Health Informatics

Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study

(2019) Josep Vehi et al.   JMIR mHealth and uHealth

Advances in artificial pancreas systems

(2019) Charlotte K. Boughton et al.   Science Translational Medicine

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting

(2019) Kezhi Li et al.   IEEE Journal of Biomedical and Health Informatics

Convolutional Recurrent Neural Networks for Glucose Prediction

(2019) Kezhi Li et al.   IEEE Journal of Biomedical and Health Informatics

Hypoglycemia

(2018) Jean-François Yale et al.   Canadian Journal of Diabetes

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

(2018) Ivan Contreras et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Design and Clinical Evaluation of the Interoperable Artificial Pancreas System (iAPS) Smartphone App: Interoperable Components with Modular Design for Progressive Artificial Pancreas Research and Development

(2018) Sunil Deshpande et al.   Diabetes Technology & Therapeutics

A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning

(2018) Qingnan Sun et al.   IEEE Journal of Biomedical and Health Informatics

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

2. Classification and Diagnosis of Diabetes

(2016)   DIABETES CARE

Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report: Table 1

(2016) David M. Maahs et al.   DIABETES CARE

Clinical Safety and Feasibility of the Advanced Bolus Calculator for Type 1 Diabetes Based on Case-Based Reasoning: A 6-Week Nonrandomized Single-Arm Pilot Study

(2016) Monika Reddy et al.   Diabetes Technology & Therapeutics

An Advanced Bolus Calculator for Type 1 Diabetes: System Architecture and Usability Results

(2016) Peter Pesl et al.   IEEE Journal of Biomedical and Health Informatics

Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability

(2015) Pau Herrero et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Diabetes

(2015) David M. Nathan   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

The University of Virginia/Padova Type 1 Diabetes Simulator Matches the Glucose Traces of a Clinical Trial

(2014) Roberto Visentin et al.   Diabetes Technology & Therapeutics

The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas

(2013) Melanie K Bothe et al.   Expert Review of Medical Devices

Management of diabetes mellitus: is the pump mightier than the pen?

(2012) John C. Pickup   Nature Reviews Endocrinology

A Monitoring and Advisory System for Diabetes Patient Management Using a Rule-Based Method and KNN

(2010) Malrey Lee et al.   SENSORS

Bolus Calculator: A Review of Four “Smart” Insulin Pumps

(2008) Howard Zisser et al.   Diabetes Technology & Therapeutics