HONZÍK, P., Lubomír KŘIVAN, Petr LOKAJ, Růžena LÁBROVÁ, Zuzana NOVÁKOVÁ, Bohumil FIŠER and Nataša HONZÍKOVÁ. Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients. Physiological Research. 2010, vol. 59, suppl. 1, p. "S89"-"S96", 8 pp. ISSN 0862-8408.
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Basic information
Original name Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients
Authors HONZÍK, P. (203 Czech Republic, guarantor), Lubomír KŘIVAN (203 Czech Republic, belonging to the institution), Petr LOKAJ (203 Czech Republic, belonging to the institution), Růžena LÁBROVÁ (203 Czech Republic, belonging to the institution), Zuzana NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Bohumil FIŠER (203 Czech Republic, belonging to the institution) and Nataša HONZÍKOVÁ (203 Czech Republic, belonging to the institution).
Edition Physiological Research, 2010, 0862-8408.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30201 Cardiac and Cardiovascular systems
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.646
RIV identification code RIV/00216224:14110/10:00058952
Organization unit Faculty of Medicine
UT WoS 000279049100013
Keywords in English Risk prediction; Myocardial infarction; Implantable cardioverter-defibrillator; Fuzzy logic; Area under receiver operating characteristic; Logistic regression
Tags International impact
Changed by Changed by: Mgr. Michal Petr, učo 65024. Changed: 8/10/2012 13:51.
Abstract
The aim of this study was a comparison of risk stratification for death in patients after myocardial infarction (MI) and of risk stratification for malignant arrhythmias in patients with implantable cardioverter-defibrillator (ICD). 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). Two groups of patients were examined: a) 308 patients 7-21 days after MI (23 patients died within period of 24 month); b) 53 patients with left ventricular dysfunction examined before implantation of ICD (7 patients with malignant arrhythmia and electric discharge within 11 month after implantation). Our results obtained in MI patients 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 statistically significant result, but its reliability 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.
Links
MSM0021622402, plan (intention)Name: Časná diagnostika a léčba kardiovaskulárních chorob
Investor: Ministry of Education, Youth and Sports of the CR, Early diagnostics and treatment of cardiovascular diseases
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