Logit and fuzzy models analysis: estimation of risk in cardiac patients.

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Authors

HONZÍK Petr KŘIVAN Lubomír LOKAJ Petr LÁBROVÁ Růžena NOVÁKOVÁ Zuzana FIŠER Bohumil HONZÍKOVÁ Nataša

Year of publication 2010
Type Article in Periodical
Magazine / Source Physiological Research
MU Faculty or unit

Faculty of Medicine

Citation
Field Physiology
Keywords Risk prediction; myocardial infarction; implantable cardioverter-defibrillator; fuzzy logic; area under receiver operating characteristic; logistic regression
Description The individual risk factors and more complex approaches were used, which take into account that a borderline between a risky and non-risky value of each predictor is not clear-cut (fuzzification of a critical value) and that individual risk factors have different weight (area under receiver operating curve - AUC or Sommers D - Dxy). The risk factors were baroreflex sensitivity, ejection fraction and the number of ventricular premature complexes/hour on Holter monitoring. Those factors were evaluated separately and they were involved into logit model and fuzzy models (Fuzzy, Fuzzy-AUC, and Fuzzy-Dxy). The application of logit and fuzzy models was superior over the risk stratification based on algorithm where the decision making is dependent on one parameter.
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