106 related articles for article (PubMed ID: 8049754)
1. Combining rule-based reasoning and mathematical modelling in diabetes care.
Lehmann ED; Deutsch T; Carson ER; Sönksen PH
Artif Intell Med; 1994 Apr; 6(2):137-60. PubMed ID: 8049754
[TBL] [Abstract][Full Text] [Related]
2. AIDA: an automated insulin dosage advisor.
Lehmann ED; Deutsch T
Proc Annu Symp Comput Appl Med Care; 1992; ():818-9. PubMed ID: 1482998
[TBL] [Abstract][Full Text] [Related]
3. Validation of a metabolic prototype to assist in the treatment of insulin-dependent diabetes mellitus.
Lehmann ED; Deutsch T; Roudsari AV; Carson ER; Sonksen PH
Med Inform (Lond); 1993; 18(2):83-101. PubMed ID: 8231426
[TBL] [Abstract][Full Text] [Related]
4. An integrated approach for the computer-assisted treatment of diabetic patients on insulin.
Lehmann ED; Deutsch T; Roudsari AV; Carson ER; Benn JJ; Sonksen PH
Med Inform (Lond); 1992; 17(2):105-23. PubMed ID: 1405831
[TBL] [Abstract][Full Text] [Related]
5. AIDA2: a Mk. II automated insulin dosage advisor.
Lehmann ED; Deutsch T
J Biomed Eng; 1993 May; 15(3):201-11. PubMed ID: 8320979
[TBL] [Abstract][Full Text] [Related]
6. An intelligent diabetes software prototype: predicting blood glucose levels and recommending regimen changes.
Otto E; Semotok C; Andrysek J; Basir O
Diabetes Technol Ther; 2000; 2(4):569-76. PubMed ID: 11469620
[TBL] [Abstract][Full Text] [Related]
7. An Improved PID Algorithm Based on Insulin-on-Board Estimate for Blood Glucose Control with Type 1 Diabetes.
Hu R; Li C
Comput Math Methods Med; 2015; 2015():281589. PubMed ID: 26550021
[TBL] [Abstract][Full Text] [Related]
8. Model Predictive Control for Type 1 Diabetes Based on Personalized Linear Time-Varying Subject Model Consisting of Both Insulin and Meal Inputs: An in Silico Evaluation.
Wang Q; Xie J; Molenaar P; Ulbrecht JS
J Diabetes Sci Technol; 2015 Jul; 9(4):941-2. PubMed ID: 25972282
[No Abstract] [Full Text] [Related]
9. Insulin dosage adjustment in diabetes.
Lehmann ED; Deutsch T
J Biomed Eng; 1992 May; 14(3):243-9. PubMed ID: 1588782
[TBL] [Abstract][Full Text] [Related]
10. Clinical validation of a new control-oriented model of insulin and glucose dynamics in subjects with type 1 diabetes.
Fabietti PG; Canonico V; Orsini-Federici M; Sarti E; Massi-Benedetti M
Diabetes Technol Ther; 2007 Aug; 9(4):327-38. PubMed ID: 17705688
[TBL] [Abstract][Full Text] [Related]
11. A semiclosed-loop optimal control system for blood glucose level in diabetics.
Ibbini MS; Masadeh MA; Amer MM
J Med Eng Technol; 2004; 28(5):189-96. PubMed ID: 15370997
[TBL] [Abstract][Full Text] [Related]
12. Postprandial insulin profiles with implantable pump therapy may explain decreased frequency of severe hypoglycemia, compared with intensive subcutaneous regimens, in insulin-dependent diabetes mellitus patients.
Nathan DM; Dunn FL; Bruch J; McKitrick C; Larkin M; Haggan C; Lavin-Tompkins J; Norman D; Rogers D; Simon D
Am J Med; 1996 Apr; 100(4):412-7. PubMed ID: 8610727
[TBL] [Abstract][Full Text] [Related]
13. AIDA: an interactive diabetes advisor.
Lehmann ED; Deutsch T; Carson ER; Sönksen PH
Comput Methods Programs Biomed; 1994 Jan; 41(3-4):183-203. PubMed ID: 8187465
[TBL] [Abstract][Full Text] [Related]
14. Blood glucose level neural model for type 1 diabetes mellitus patients.
Alanis AY; Leon BS; Sanchez EN; Ruiz-Velazquez E
Int J Neural Syst; 2011 Dec; 21(6):491-504. PubMed ID: 22131301
[TBL] [Abstract][Full Text] [Related]
15. Time series analysis and control of blood glucose levels in diabetic patients.
Deutsch T; Lehmann ED; Carson ER; Roudsari AV; Hopkins KD; Sönksen PH
Comput Methods Programs Biomed; 1994 Jan; 41(3-4):167-82. PubMed ID: 8187464
[TBL] [Abstract][Full Text] [Related]
16. A prototype of a new noninvasive device to detect nocturnal hypoglycemia in adolescents with type 1 diabetes--a pilot study.
Schechter A; Eyal O; Zuckerman-Levin N; Amihai-Ben-Yaacov V; Weintrob N; Shehadeh N
Diabetes Technol Ther; 2012 Aug; 14(8):683-9. PubMed ID: 22690891
[TBL] [Abstract][Full Text] [Related]
17. Protocol-based reasoning in diabetic patient management.
Montani S; Bellazzi R; Larizza C; Riva A; d'Annunzio G; Fiocchi S; Lorini R; Stefanelli M
Int J Med Inform; 1999 Jan; 53(1):61-77. PubMed ID: 10075131
[TBL] [Abstract][Full Text] [Related]
18. The principles and prototyping of a knowledge-based diabetes management system.
Deutsch T; Boroujerdi MA; Carson ER; Harvey FE; Sonksen PH; Tamás G; Williams CD
Comput Methods Programs Biomed; 1989 Jun; 29(2):75-88. PubMed ID: 2663334
[TBL] [Abstract][Full Text] [Related]
19. A neural network approach for insulin regime and dose adjustment in type 1 diabetes.
Mougiakakou SG; Nikita KS
Diabetes Technol Ther; 2000; 2(3):381-9. PubMed ID: 11467341
[TBL] [Abstract][Full Text] [Related]
20. Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell.
Wang Y; Dassau E; Zisser H; Jovanovič L; Doyle FJ
Diabetes Technol Ther; 2010 Nov; 12(11):879-87. PubMed ID: 20879966
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
