Daskalaki, Elena; Prountzou, Aikaterini; Diem, Peter; Mougiakakou, Stavroula G (2012). Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients. Diabetes technology & therapeutics, 14(2), pp. 168-74. Larchmont, N.Y.: Mary Ann Liebert 10.1089/dia.2011.0093
Full text not available from this repository. (Request a copy)Prediction of glycemic profile is an important task for both early recognition of hypoglycemia and enhancement of the control algorithms for optimization of insulin infusion rate. Adaptive models for glucose prediction and recognition of hypoglycemia based on statistical and artificial intelligence techniques are presented.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Health and Nutrition 04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition |
UniBE Contributor: |
Daskalaki, Eleni, Diem, Peter, Mougiakakou, Stavroula |
ISSN: |
1520-9156 |
Publisher: |
Mary Ann Liebert |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:26 |
Last Modified: |
05 Dec 2022 14:07 |
Publisher DOI: |
10.1089/dia.2011.0093 |
PubMed ID: |
21992270 |
Web of Science ID: |
000299165300011 |
URI: |
https://boris.unibe.ch/id/eprint/9384 (FactScience: 215114) |
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