Logit and fuzzy models analysis: estimation of risk in cardiac patients.
| Název česky | Logitová a fuzzy analýza: stanovení rizikovosti pacientů s chorobami srdce. |
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| Autoři | |
| Rok publikování | 2010 |
| Druh | Článek v odborném periodiku |
| Časopis / Zdroj | Physiological Research |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Fyziologie |
| Klíčová slova | Risk prediction; myocardial infarction; implantable cardioverter-defibrillator; fuzzy logic; area under receiver operating characteristic; logistic regression |
| Popis | 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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