Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico Experiments
A El Fathi, MD Breton - IFAC-PapersOnLine, 2023 - Elsevier
People with type 1 diabetes (T1D) struggle to calculate the optimal insulin dose at mealtime,
especially when under multiple daily injections (MDI) therapy. Effectively, they will not …
especially when under multiple daily injections (MDI) therapy. Effectively, they will not …
Tinjauan Supervised Reinforcement Learning pada Tindakan Medis Penyakit Diabetes Melitus: Review of Supervised Reinforcement Learning on Medical Actions for …
Diabetes Melitus (DM) merupakan penyakit kronis yang memerlukan pengelolaan medis
yang berkelanjutan. Pengelolaan pengendalian penyakit diabetes bergantung pada kadar …
yang berkelanjutan. Pengelolaan pengendalian penyakit diabetes bergantung pada kadar …
[PDF][PDF] Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities
AC Breton, K Nikita, F Doyle Jr, TB Jorge Bondia III… - 2023 - researchgate.net
Objective: Artificial intelligence and machine learning are transforming many fields including
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …
[引用][C] Reinforcement Learning-based Artificial Pancreas Systems to Automate Treatment in Type 1 Diabetes
C Hettiarachchi - 2023 - The Australian National University
Artificial Intelligence Models for the Management of Type 1 Diabetes
F D'Antoni - 2023 - iris.unicampus.it
Abstract Type 1 Diabetes mellitus (T1D) is a chronic metabolic disease due to which the
pancreas is not able to produce an adequate amount of insulin, resulting in an increased …
pancreas is not able to produce an adequate amount of insulin, resulting in an increased …
Machine Learning Based Techniques for the Design of Personalized Insulin Bolus Calculators in Type 1 Diabetes Therapy
G Noaro - 2023 - research.unipd.it
Negli ultimi anni, l'incidenza e la prevalenza del diabete di tipo 1 (T1D) sono in aumento in
tutto il mondo. Oltre all'onere economico legato al T1D, la gestione e il trattamento di questa …
tutto il mondo. Oltre all'onere economico legato al T1D, la gestione e il trattamento di questa …
Insights into the Application of Deep Reinforcement Learning in Healthcare and Materials Science
BR Smith - 2023 - trace.tennessee.edu
Reinforcement learning (RL) is a type of machine learning designed to optimize sequential
decision-making. While controlled environments have served as a foundation for RL …
decision-making. While controlled environments have served as a foundation for RL …
[PDF][PDF] Uncovering Bias in Reinforcement Learning for Heparin Treatment Planning
Dynamic treatment policies have the potential to greatly improve medical outcomes for
patients. Algorithmic bias has not been fully explored for its impact on data-driven temporal …
patients. Algorithmic bias has not been fully explored for its impact on data-driven temporal …
Artificial intelligence-based analysis of small data sets in medicine
D Mikołajewski, E Mikołajewska - Studia i Materiały Informatyki …, 2023 - yadda.icm.edu.pl
AI-based computing of small data sets are a step towards edge computing and further
personalization of diagnostics, therapy and predictions in clinical practice. However, this still …
personalization of diagnostics, therapy and predictions in clinical practice. However, this still …
[PDF][PDF] Intelligent Control with Artificial Neural Networks for Automated Insulin Delivery Systems. Bioengineering 2022, 9, 664
J de Farias, WM Bessa - 2022 - utupub.fi
Type 1 diabetes mellitus is a disease that affects millions of people around the world. Recent
progress in embedded devices has allowed the development of artificial pancreas that can …
progress in embedded devices has allowed the development of artificial pancreas that can …