[PDF][PDF] Pepper: Patient empowerment through predictive personalised decision support
PEPPER is a newly-launched three-year research project, funded by the EU Horizon 2020
Framework. It will create a portable personalised decision support system to empower …
Framework. It will create a portable personalised decision support system to empower …
Towards personalization of diabetes therapy using computerized decision support and machine learning: some open problems and challenges
Diabetes mellitus (DM) is a growing global disease which highly affects the individual
patient and represents a global health burden with financial impact on national health care …
patient and represents a global health burden with financial impact on national health care …
Safety and feasibility of the PEPPER adaptive bolus advisor and safety system: a randomized control study
Background: The Patient Empowerment through Predictive Personalized Decision Support
(PEPPER) system provides personalized bolus advice for people with type 1 diabetes. The …
(PEPPER) system provides personalized bolus advice for people with type 1 diabetes. The …
A predictive model-based decision support system for diabetes patient empowerment
D Glachs, T Namli, F Strohmeier… - Public Health and …, 2021 - ebooks.iospress.nl
The main objective of POWER2DM is to develop and validate a personalized self-
management support system (SMSS) for T1 and T2 diabetes patients that combines and …
management support system (SMSS) for T1 and T2 diabetes patients that combines and …
Advanced insulin bolus advisor based on run-to-run control and case-based reasoning
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple
daily injections or insulin pump therapy. The proposed system, which runs on a smartphone …
daily injections or insulin pump therapy. The proposed system, which runs on a smartphone …
[HTML][HTML] Artificial intelligence in decision support systems for type 1 diabetes
Type 1 diabetes (T1D) is a chronic health condition resulting from pancreatic beta cell
dysfunction and insulin depletion. While automated insulin delivery systems are now …
dysfunction and insulin depletion. While automated insulin delivery systems are now …
Near-optimal insulin treatment for diabetes patients: a machine learning approach
M Shifrin, H Siegelmann - Artificial Intelligence in Medicine, 2020 - Elsevier
Blood glycemic control is crucial for minimizing severe side effects in diabetes mellitus.
Currently, two opposing treatment approaches exist: in formulaic methods, insulin care is …
Currently, two opposing treatment approaches exist: in formulaic methods, insulin care is …
Decision support in diabetes care: the challenge of supporting patients in their daily living using a mobile glucose predictor
C Pérez-Gandía, G García-Sáez… - Journal of diabetes …, 2018 - journals.sagepub.com
Background: In type 1 diabetes mellitus (T1DM), patients play an active role in their own
care and need to have the knowledge to adapt decisions to their daily living conditions …
care and need to have the knowledge to adapt decisions to their daily living conditions …
Model-free intelligent diabetes management using machine learning
M Bastani - 2014 - era.library.ualberta.ca
Each patient with Type-1 diabetes must decide how much insulin to inject before each meal
to maintain an acceptable level of blood glucose. The actual injection dose is based on a …
to maintain an acceptable level of blood glucose. The actual injection dose is based on a …
Empowerment of diabetic patients through mHealth technologies and education: development of a pilot self-management application
Diabetes is a major, global and increasing condition that occurs when the insulin-glucagon
regulatory mechanism is affected, leading to uncontrolled hyper-and hypoglycaemia events …
regulatory mechanism is affected, leading to uncontrolled hyper-and hypoglycaemia events …