HONZÍK, Petr, Lubomír KŘIVAN, Petr LOKAJ, Růžena LÁBROVÁ, Zuzana NOVÁKOVÁ, Bohumil FIŠER and Nataša HONZÍKOVÁ. Logit and fuzzy models analysis: estimation of risk in cardiac patients. Physiological Research. Praha: Academy of Sciences of the Czech Rep., 2010, vol. 59, Suppl. 1, p. 89-96. ISSN 0862-8408.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Logit and fuzzy models analysis: estimation of risk in cardiac patients.
Name in Czech Logitová a fuzzy analýza: stanovení rizikovosti pacientů s chorobami srdce.
Authors HONZÍK, Petr (203 Czech Republic), Lubomír KŘIVAN (203 Czech Republic), Petr LOKAJ (203 Czech Republic), Růžena LÁBROVÁ (203 Czech Republic), Zuzana NOVÁKOVÁ (203 Czech Republic), Bohumil FIŠER (203 Czech Republic) and Nataša HONZÍKOVÁ (203 Czech Republic, guarantor).
Edition Physiological Research, Praha, Academy of Sciences of the Czech Rep. 2010, 0862-8408.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30105 Physiology
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 1.646
RIV identification code RIV/00216224:14110/10:00044677
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, Reviewed
Changed by Changed by: prof. MUDr. Nataša Honzíková, CSc., učo 1700. Changed: 6/10/2010 14:53.
Abstract
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.
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
PrintDisplayed: 29/7/2024 02:40