Logit and fuzzy models analysis: estimation of risk in cardiac
patients.

J 2010

Logit and fuzzy models analysis: estimation of risk in cardiac patients.

HONZÍK, Petr, Lubomír KŘIVAN, Petr LOKAJ, Růžena LÁBROVÁ, Zuzana NOVÁKOVÁ et. al.

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30105 Physiology

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

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

Abstract

V originále

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

Citovat

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.

@article{896107,
   author = {Honzík, Petr and Křivan, Lubomír and Lokaj, Petr and Lábrová, Růžena and Nováková, Zuzana and Fišer, Bohumil and Honzíková, Nataša},
   article_location = {Praha},
   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},
   title = {Logit and fuzzy models analysis: estimation of risk in cardiac patients.},
   volume = {59},
   year = {2010}
}

TY  - JOUR
ID  - 896107
AU  - Honzík, Petr - Křivan, Lubomír - Lokaj, Petr - Lábrová, Růžena - Nováková, Zuzana - Fišer, Bohumil - Honzíková, Nataša
PY  - 2010
TI  - Logit and fuzzy models analysis: estimation of risk in cardiac patients.
JF  - Physiological Research
VL  - 59
IS  - Suppl. 1
SP  - 89-96
EP  - 89-96
PB  - Academy of Sciences of the Czech Rep.
SN  - 08628408
KW  - Risk prediction
KW  - myocardial infarction
KW  - implantable cardioverter-defibrillator
KW  - fuzzy logic
KW  - area under receiver operating characteristic
KW  - logistic regression
N2  - 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.
ER  -

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. \textit{Physiological Research}. Praha: Academy of Sciences of the Czech Rep., 2010, vol.~59, Suppl. 1, p.~89-96. ISSN~0862-8408.

Detailed Information on Publication Record