Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques-Reference-Cited by-同舟云学术

Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques

Published:2019-09 Issue: Volume:178 Page:175-180
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Oviedo Silvia,Contreras Ivan,Bertachi Arthur,Quirós Carmen,Giménez Marga,Conget Ignacio,Vehi Josep

Funder

Spanish Ministry of Science and Innovation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference20 articles.

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2. Advanced insulin bolus advisor based on run-to-run control and case-based reasoning;Herrero;IEEE J. Biomed. Heal. Inf.,2015

3. Evaluation of a novel continuous glucose monitoring-based method for mealtime insulin dosing–the ibolus–in subjects with type 1 diabetes using continuous subcutaneous insulin infusion therapy: a randomized controlled trial;Rossetti;Diabetes Technol. Ther.,2012

4. Artificial intelligence for diabetes management and decision support: literature review;Contreras;J. Med. Internet Res.,2018

5. Case-Based reasoning for insulin bolus advice: evaluation of case parameters in a six-Week pilot study;Pesl;J. Diabetes Sci. Technol.,2017

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