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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@article{920670, author = {Honzík, P. and Křivan, Lubomír and Lokaj, Petr and Lábrová, Růžena and Nováková, Zuzana and Fišer, Bohumil and Honzíková, Nataša}, article_number = {suppl. 1}, keywords = {Risk prediction; Myocardial infarction; Implantable cardioverter-defibrillator; Fuzzy logic; Area under receiver operating characteristic; Logistic regression}, language = {eng}, issn = {0862-8408}, journal = {Physiological Research}, note = {37th Workshop of the Committee-of-Experimental-Cardiology}, title = {Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients}, url = {http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf}, volume = {59}, year = {2010} }
TY - JOUR ID - 920670 AU - Honzík, P. - Křivan, Lubomír - Lokaj, Petr - Lábrová, Růžena - Nováková, Zuzana - Fišer, Bohumil - Honzíková, Nataša PY - 2010 TI - Logit and Fuzzy Models in Data Analysis: Estimation of Risk in Cardiac Patients JF - Physiological Research VL - 59 IS - suppl. 1 SP - "S89"-"S96" EP - "S89"-"S96" SN - 08628408 N1 - 37th Workshop of the Committee-of-Experimental-Cardiology KW - Risk prediction KW - Myocardial infarction KW - Implantable cardioverter-defibrillator KW - Fuzzy logic KW - Area under receiver operating characteristic KW - Logistic regression UR - http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf L2 - http://www.biomed.cas.cz/physiolres/pdf/59%20Suppl%201/59_S89.pdf N2 - 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. ER -
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. \textit{Physiological Research}. 2010, vol.~59, suppl. 1, p.~''S89''-''S96'', 8 pp. ISSN~0862-8408.
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