A neural network approach for insulin regime and dose adjustment in type 1 diabetes

Diabetes Technology and Therapeutics

Volumn 2, Issue 3, 2000, Pages 381-389

  Mougiakakou, S G ^a   Nikita, K S ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

INSULIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DIABETES CONTROL; DIABETES MELLITUS; GLUCOSE BLOOD LEVEL; HUMAN; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN TREATMENT; PRIORITY JOURNAL; SYMPTOMATOLOGY;

BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; DATABASES; DIABETES MELLITUS, TYPE 1; DRUG ADMINISTRATION SCHEDULE; EATING; HUMANS; HYPOGLYCEMIA; HYPOGLYCEMIC AGENTS; INSULIN; NERVE NET;

EID: 0033757974     PISSN: 15209156     EISSN: None     Source Type: Journal    
DOI: 10.1089/15209150050194251     Document Type: Article

References (20)

1. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus
2. Algorithms for adjustment of insulin dosage by patients who monitor blood glucose
3. Computer simulation of plasma insulin and glucose dynamics after subcutaneous insulin injection
4. AIDA: An interactive diabetes advisor
5. Time series analysis and control of blood glucose levels in diabetic patients
6. A probabilistic approach to glucose prediction and insulin dose adjustment: Description of metabolic model and pilot evaluation study
7. Preliminary experience of the DIAS computer model in providing insulin dose advice to patients with insulin dependent diabetes
8. ANN-based QRS-complex analysis of ECG
9. Artificial neural network analysis of common femoral artery Doppler shift signals: Classification of proximal disease
10. Neural network modeling for surgical decisions on traumatic brain injury patients
11. Application of autonomous neural network systems to medical classification tasks
12. Neural predictive controller for insulin delivery using the subcutaneous route
13. Decision support for insuln regime prescription based on a neural-network approach
14. Neural-network models for the blood glucose metabolism of a diabetic
15. Prediction of blood glucose levels in diabetic patients using a hybrid AI technique