Computer support of detecting risk of cardiovascular diseases

• Autorzy: Franek P. , Tomeckova M. , Zvarova J.
• Języki publikacji: EN

Abstrakty

EN

The paper is focusing on analysis of data collected in twenty years lasting longitudinal study of 1417 middle-aged men living in the second district of Prague. Examination of methods that can support estimation of the risk of cardiovascular disease development in time is done. These methods examined were neural networks, discriminat analysis and logistic regression. The final comparison was done according to percentage of correct decisions and using ROC curves.

Słowa kluczowe

EN

epidemiology; cardiology; neural networks; discriminant analysis; logistic regression

PL

epidemiologia; kardiologia; informatyka medyczna

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2002
• Tom: Vol. 22, no. 1
• Strony: 61--68
• Opis fizyczny: Bibliogr., tab., wykr.

Twórcy

autor

Franek P.

autor

Tomeckova M.

autor

Zvarova J.

• European Center for Medical Informatics, Statistics and Epidemiology of Charles University and Academy of Sciences of the Czech Rpublic, Prague, the Czech Republic,