149 related articles for article (PubMed ID: 25953402)
1. Realization of a service for the long-term risk assessment of diabetes-related complications.
Lagani V; Chiarugi F; Manousos D; Verma V; Fursse J; Marias K; Tsamardinos I
J Diabetes Complications; 2015 Jul; 29(5):691-8. PubMed ID: 25953402
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data.
Lagani V; Chiarugi F; Thomson S; Fursse J; Lakasing E; Jones RW; Tsamardinos I
J Diabetes Complications; 2015; 29(4):479-87. PubMed ID: 25772254
[TBL] [Abstract][Full Text] [Related]
3. The CORE Diabetes Model: Projecting long-term clinical outcomes, costs and cost-effectiveness of interventions in diabetes mellitus (types 1 and 2) to support clinical and reimbursement decision-making.
Palmer AJ; Roze S; Valentine WJ; Minshall ME; Foos V; Lurati FM; Lammert M; Spinas GA
Curr Med Res Opin; 2004 Aug; 20 Suppl 1():S5-26. PubMed ID: 15324513
[TBL] [Abstract][Full Text] [Related]
4. Validation of the CORE Diabetes Model against epidemiological and clinical studies.
Palmer AJ; Roze S; Valentine WJ; Minshall ME; Foos V; Lurati FM; Lammert M; Spinas GA
Curr Med Res Opin; 2004 Aug; 20 Suppl 1():S27-40. PubMed ID: 15324514
[TBL] [Abstract][Full Text] [Related]
5. Diabetes in the Elderly: A Silent Global Tsunami.
Lau DC
Can J Diabetes; 2016 Feb; 40(1):2-3. PubMed ID: 26778681
[No Abstract] [Full Text] [Related]
6. Validation of the IMS CORE Diabetes Model.
McEwan P; Foos V; Palmer JL; Lamotte M; Lloyd A; Grant D
Value Health; 2014 Sep; 17(6):714-24. PubMed ID: 25236995
[TBL] [Abstract][Full Text] [Related]
7. A machine learning-based framework to identify type 2 diabetes through electronic health records.
Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y
Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371
[TBL] [Abstract][Full Text] [Related]
8. What impact would pancreatic beta-cell preservation have on life expectancy, quality-adjusted life expectancy and costs of complications in patients with type 2 diabetes? A projection using the CORE Diabetes Model.
Palmer AJ; Roze S; Valentine WJ; Minshall ME; Lammert M; Oglesby A; Hayes C; Spinas GA
Curr Med Res Opin; 2004 Aug; 20 Suppl 1():S59-66. PubMed ID: 15324517
[TBL] [Abstract][Full Text] [Related]
9. Diabetes Management and Education in Older Adults: The Development of a National Consensus of Key Research Priorities.
Sherifali D; Meneilly G
Can J Diabetes; 2016 Feb; 40(1):31-4. PubMed ID: 26616558
[TBL] [Abstract][Full Text] [Related]
10. SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients.
Mougiakakou SG; Bartsocas CS; Bozas E; Chaniotakis N; Iliopoulou D; Kouris I; Pavlopoulos S; Prountzou A; Skevofilakas M; Tsoukalis A; Varotsis K; Vazeou A; Zarkogianni K; Nikita KS
IEEE Trans Inf Technol Biomed; 2010 May; 14(3):622-33. PubMed ID: 20123578
[TBL] [Abstract][Full Text] [Related]
11. D-WISE: Diabetes Web-Centric Information and Support Environment: conceptual specification and proposed evaluation.
Abidi S; Vallis M; Raza Abidi SS; Piccinini-Vallis H; Imran SA
Can J Diabetes; 2014 Jun; 38(3):205-11. PubMed ID: 24909091
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning Methods to Predict Diabetes Complications.
Dagliati A; Marini S; Sacchi L; Cogni G; Teliti M; Tibollo V; De Cata P; Chiovato L; Bellazzi R
J Diabetes Sci Technol; 2018 Mar; 12(2):295-302. PubMed ID: 28494618
[TBL] [Abstract][Full Text] [Related]
13. A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes.
Marini S; Trifoglio E; Barbarini N; Sambo F; Di Camillo B; Malovini A; Manfrini M; Cobelli C; Bellazzi R
J Biomed Inform; 2015 Oct; 57():369-76. PubMed ID: 26325295
[TBL] [Abstract][Full Text] [Related]
14. Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus.
Kim E; Caraballo PJ; Castro MR; Pieczkiewicz DS; Simon GJ
J Med Syst; 2019 May; 43(7):185. PubMed ID: 31098679
[TBL] [Abstract][Full Text] [Related]
15. e-clinic: an electronic triage system for the management of type 2 Diabetes Mellitus.
Rahman Y; Knape T; Gargan M; Power G; Hederman L; Wade V; Nolan J; Grimson J
Stud Health Technol Inform; 2004; 107(Pt 1):246-50. PubMed ID: 15360812
[TBL] [Abstract][Full Text] [Related]
16. UKPDS Risk Engine, decode and diabetes PHD models for the estimation of cardiovascular risk in patients with diabetes.
Almeda-Valdes P; Cuevas-Ramos D; Mehta R; Gomez-Perez FJ; Aguilar-Salinas CA
Curr Diabetes Rev; 2010 Jan; 6(1):1-8. PubMed ID: 20034373
[TBL] [Abstract][Full Text] [Related]
17. The Joint Asia Diabetes Evaluation (JADE) Program: a web-based program to translate evidence to clinical practice in Type 2 diabetes.
Chan J; So W; Ko G; Tong P; Yang X; Ma R; Kong A; Wong R; Le Coguiec F; Tamesis B; Wolthers T; Lyubomirsky G; Chow P
Diabet Med; 2009 Jul; 26(7):693-9. PubMed ID: 19573118
[TBL] [Abstract][Full Text] [Related]
18. Computer modeling of diabetes and its complications: a report on the Fourth Mount Hood Challenge Meeting.
Mount Hood 4 Modeling Group
Diabetes Care; 2007 Jun; 30(6):1638-46. PubMed ID: 17526823
[TBL] [Abstract][Full Text] [Related]
19. Clinical worthlessness of genetic prediction of common forms of diabetes mellitus and related chronic complications: A position statement of the Italian Society of Diabetology.
Buzzetti R; Prudente S; Copetti M; Dauriz M; Zampetti S; Garofolo M; Penno G; Trischitta V
Nutr Metab Cardiovasc Dis; 2017 Feb; 27(2):99-114. PubMed ID: 28063875
[TBL] [Abstract][Full Text] [Related]
20. [Diabetes, a public health problem. The epidemiology of sugar diabetes and its long term complications].
Ekoé JM; Emond V; Huot C
Perspect Infirm; 2006; 4(2):10-6. PubMed ID: 17184091
[No Abstract] [Full Text] [Related]
[Next] [New Search]
