Publication detail

Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients

HONZÍK, P. KŘIVAN, L. LOKAJ, P. LÁBROVÁ, R. NOVÁKOVÁ, Z. FIŠER, B. HONZÍKOVÁ, N.

Original Title

Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients

Type

journal article in Web of Science

Language

English

Original Abstract

The aim of this study was comparison of risk stratification for death in patients after myocardial infarction and of risk stratification for malignant arrhythmias in patients with implantable cardioverter-defibrillator (ICD) using individual risk factors and more complex approaches, which take into account that a borderline between a risky and non-risky value of each predictor is not crisp (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 ). Two groups of patients were examined: 1. 308 patients 7-21 days after having a myocardial infarction (23 patients died within period of 24 month); 2. 53 patients with left ventricular dysfunction examined before implantation of ICD (7 patients having malignant arrhythmia with electric discharge within 11 month after implantation). In myocardial infarction patients our results demonstrated that 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. In patients with implanted defibrillator only logit method yielded statistical significant result, but the reliability of such result was doubtful because all other tests were statistically insignificant. We recommend evaluating the data not only by tests based on logit model, but also by tests based on fuzzy models.

Keywords

Risk prediction, myocardial infarction, implantable cardioverter-defibrillator, fuzzy logic, area under receiver operating characteristic, logistic regression

Authors

HONZÍK, P.; KŘIVAN, L.; LOKAJ, P.; LÁBROVÁ, R.; NOVÁKOVÁ, Z.; FIŠER, B.; HONZÍKOVÁ, N.

RIV year

2010

Released

1. 6. 2010

Publisher

Institute of Physiology

Location

Academy of Science of the Czech Republic, Prague

ISBN

0862-8408

Periodical

Physiological Research

Year of study

59

Number

Suppl. 1

State

Czech Republic

Pages from

89

Pages to

96

Pages count

8

URL

http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf

BibTex

@article{BUT49502,
  author="Petr {Honzík} and Lubomír {Křivan} and Petr {Lokaj} and Růžena {Lábrová} and Zuzana {Nováková} and Bohumil {Fišer} and Nataša {Honzíková}",
  title="Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients",
  journal="Physiological  Research",
  year="2010",
  volume="59",
  number="Suppl. 1",
  pages="89--96",
  issn="0862-8408",
  url="http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf"
}