198 related articles for article (PubMed ID: 11469620)
1. 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]
2. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
3. Experience with the Internet release of AIDA v4.0--http://www.diabetic.org.uk.aida.htm--an interactive educational diabetes simulator.
Lehmann ED
Diabetes Technol Ther; 1999; 1(1):41-54. PubMed ID: 11475304
[TBL] [Abstract][Full Text] [Related]
4. The creation and impact evaluation of "Your guide to diet and diabetes," an interactive web-based diabetes tutorial.
Herrejon K; Hartke JL; Scherer J; Chapman-Novakofski K
Diabetes Technol Ther; 2009 Mar; 11(3):171-9. PubMed ID: 19216688
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A novel blood glucose regulation using TSK0-FCMAC: a fuzzy CMAC based on the zero-ordered TSK fuzzy inference scheme.
Ting CW; Quek C
IEEE Trans Neural Netw; 2009 May; 20(5):856-71. PubMed ID: 19304482
[TBL] [Abstract][Full Text] [Related]
7. Prediction of blood glucose levels in diabetic patients using a hybrid AI technique.
Liszka-Hackzell JJ
Comput Biomed Res; 1999 Apr; 32(2):132-44. PubMed ID: 10337495
[TBL] [Abstract][Full Text] [Related]
8. A PI-fuzzy logic controller for the regulation of blood glucose level in diabetic patients.
Ibbini M
J Med Eng Technol; 2006; 30(2):83-92. PubMed ID: 16531347
[TBL] [Abstract][Full Text] [Related]
9. A neural network approach in diabetes management by insulin administration.
Gogou G; Maglaveras N; Ambrosiadou BV; Goulis D; Pappas C
J Med Syst; 2001 Apr; 25(2):119-31. PubMed ID: 11417199
[TBL] [Abstract][Full Text] [Related]
10. Four years experience with the microcomputer system "Diacon" in the treatment and education of diabetes.
Laron Z; Galatzer A; Fainmesser P; Albag Y; Ofan R; Flexer Z; Faiman G; Rapaport M
Horm Metab Res Suppl; 1990; 24():129-40. PubMed ID: 2272618
[TBL] [Abstract][Full Text] [Related]
11. An insulin infusion advisory system based on autotuning nonlinear model-predictive control.
Zarkogianni K; Vazeou A; Mougiakakou SG; Prountzou A; Nikita KS
IEEE Trans Biomed Eng; 2011 Sep; 58(9):2467-77. PubMed ID: 21622071
[TBL] [Abstract][Full Text] [Related]
12. User reviews of AIDA online (http://www.shodor.org/aida): a Web-based interactive educational diabetes simulator.
Lehmann ED
Diabetes Technol Ther; 2000; 2(2):329-42. PubMed ID: 11469276
[No Abstract] [Full Text] [Related]
13. 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]
14. Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients.
Zaidi SMA; Chandola V; Ibrahim M; Romanski B; Mastrandrea LD; Singh T
Sci Rep; 2021 Dec; 11(1):24332. PubMed ID: 34934084
[TBL] [Abstract][Full Text] [Related]
15. A graphical user interface for diabetes management that integrates glucose prediction and decision support.
Albisser AM
Diabetes Technol Ther; 2005 Apr; 7(2):264-73. PubMed ID: 15857228
[TBL] [Abstract][Full Text] [Related]
16. Application of physicians' predictions of meal and exercise effects on blood glucose control to a computer simulation.
Hauser T; Campbell LV; Kraegen EW; Chisholm DJ
Diabet Med; 1993 Oct; 10(8):744-50. PubMed ID: 8261757
[TBL] [Abstract][Full Text] [Related]
17. Patient-reported outcomes for an integrated real-time continuous glucose monitoring/insulin pump system.
Peyrot M; Rubin RR
Diabetes Technol Ther; 2009 Jan; 11(1):57-62. PubMed ID: 19132857
[TBL] [Abstract][Full Text] [Related]
18. Development of a PC-based diabetes simulator in collaboration with teenagers with type 1 diabetes.
Nordfeldt S; Hanberger L; Malm F; Ludvigsson J
Diabetes Technol Ther; 2007 Feb; 9(1):17-25. PubMed ID: 17316094
[TBL] [Abstract][Full Text] [Related]
19. Management of insulin therapy in urban diabetes patients is facilitated by use of an intelligent dosing system.
Cook CB; Mann LJ; King EC; New KM; Vaughn PS; Dames FD; Dunbar VG; Caudle JM; Tsui C; George CD; McMichael JP
Diabetes Technol Ther; 2004 Jun; 6(3):326-35. PubMed ID: 15198835
[TBL] [Abstract][Full Text] [Related]
20. Telemedical care reduces hypoglycemias and improves glycemic control in children and adolescents with type 1 diabetes.
Liesenfeld B; Renner R; Neese M; Hepp KD
Diabetes Technol Ther; 2000; 2(4):561-7. PubMed ID: 11469619
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
