Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools

  • Lefteris Koumakis
  • Franco Chiarugi
  • Vincenzo Lagani
  • Angelina Kouroubali
  • Ioannis Tsamardinos
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 83)

Abstract

Predictions, risk assessment and risk profiling are among the various decision support techniques that medical professionals increasingly rely on to provide early diagnose in patients with elevated risks and to slow down the rapid increase in prevalence of chronic diseases. The introduction of risk assessment tools and applications for chronic diseases in large scale longitudinal clinical studies, presents many challenges due to the nature of the data (studies last around a decade) and the complexity of the models. In this paper, we give an overview of research work on risk assessment tools and applications for diabetes complications. We also introduce the REACTION project and its vision in the field of risk assessment for diabetes complications.

Keywords

Risk Assessment Diabetes Complication Risk Assessment Tool United Kingdom Prospective Diabetes Study Risk Assessment Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    The Diabetes Control and Complications Trial Research Group: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N. Engl. J. Med. 329(14), 977–986 (1993) Google Scholar
  2. 2.
    Hippisley-Cox, J., Coupland, C., Vinogradova, Y., et al.: Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study. BMJ, June 27 (2007)Google Scholar
  3. 3.
    UKPDS Group: UK Prospective Diabetes Study VIII: Study design, progress and performance. Diabetologia 34, 877–890 (1991)Google Scholar
  4. 4.
    Epidemiology of Diabetes Interventions and Complications (EDIC): design, implementation, and preliminary results of a long-term follow-up of the Diabetes Control and Complications Trial cohort. Diabetes Care 22, 99–111 (1999) Google Scholar
  5. 5.
    Eddy, D.M., Schlessinger, L.: Validation of the Archimedes Diabetes Model. Diabetes Care 26, 3102–3110 (2003)CrossRefGoogle Scholar
  6. 6.
    Schlessinger, L., Eddy, D.M.: Archimedes: a new model for simulating health care systems - the mathematical formulation. Journal of Biomedical Informatics 35, 37–50 (2002)CrossRefGoogle Scholar
  7. 7.
    Hippisley-Cox, J., Coupland, C., Vinogradova, Y., Robson, J., Minhas, R., Sheikh, A., Brindle, P.: Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ 336, 1475 (2008) doi: 10.1136/bmj.39609.449676.25 CrossRefGoogle Scholar
  8. 8.
    D’Agostino, R.B., Wolf, P.A., Belanger, A.J., Kannel, W.B.: Stroke Risk Profile: Adjustment for Antihypertensive Medication, Stroke (1994)Google Scholar
  9. 9.
    Pocock, S., McCormack, V., Gueyffier, F., Boutitie, F., Fagard, R., Boissel, J.-P.: A Score for Predicting Risk of Cardiovascular Death in Adults with Elevated Blood Pressure. British Medical Journal 323(7304), 75–81 (2001)CrossRefGoogle Scholar
  10. 10.
    The Mount Hood 4 Modeling Group: Computer modeling of diabetes and its complications. The Mount Hood modeling group, Diabetes Care 30, 638–1646 (2007)Google Scholar
  11. 11.
  12. 12.
    Green, C., Hoppa, R.D., Young, T.K., Blanchard, J.F.: Geographic analysis of diabetes prevalence in an urban area. Soc. Sci. Med. 57(3), 551–560 (2003)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Lefteris Koumakis
    • 1
  • Franco Chiarugi
    • 1
  • Vincenzo Lagani
    • 1
  • Angelina Kouroubali
    • 1
  • Ioannis Tsamardinos
    • 1
    • 2
  1. 1.Institute of Computer ScienceFoundation for Research and Technology – Hellas (FORTH)HeraklionGreece
  2. 2.Department of Computer ScienceUniversity of CreteHeraklionGreece

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