Hypoglycemia Prediction with Subject-Specific Recursive Time-Series Models
Author:
Affiliation:
1. department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, Illinois
2. College of Nursing, University of Illinois at Chicago, Chicago, Illinois
Publisher
SAGE Publications
Subject
Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine
Link
http://journals.sagepub.com/doi/pdf/10.1177/193229681000400104
Reference16 articles.
1. The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus
2. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33)
3. Estimation of Future Glucose Concentrations with Subject-Specific Recursive Linear Models
4. Adaptive control strategy for regulation of blood glucose levels in patients with type 1 diabetes
5. Hypoglycemia Detection and Prediction Using Continuous Glucose Monitoring—A Study on Hypoglycemic Clamp Data
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