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.

Základní údaje

Originální název

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

Název česky

Logitová a fuzzy analýza: stanovení rizikovosti pacientů s chorobami srdce.

Autoři

HONZÍK, Petr; Lubomír KŘIVAN; Petr LOKAJ; Růžena LÁBROVÁ; Zuzana NOVÁKOVÁ; Bohumil FIŠER a Nataša HONZÍKOVÁ

Vydání

Physiological Research, Praha, Academy of Sciences of the Czech Rep. 2010, 0862-8408

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30105 Physiology

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 1.646

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/10:00044677

Organizační jednotka

Lékařská fakulta

UT WoS

000279049100013

Klíčová slova anglicky

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

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 6. 10. 2010 14:53, prof. MUDr. Nataša Honzíková, CSc.

Anotace

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.

Návaznosti

MSM0021622402, záměr

Název: Časná diagnostika a léčba kardiovaskulárních chorob

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Časná diagnostika a léčba kardiovaskulárních chorob

Citovat

HONZÍK, Petr; Lubomír KŘIVAN; Petr LOKAJ; Růžena LÁBROVÁ; Zuzana NOVÁKOVÁ; Bohumil FIŠER a Nataša HONZÍKOVÁ. Logit and fuzzy models analysis: estimation of risk in cardiac patients. Physiological Research. Praha: Academy of Sciences of the Czech Rep., 2010, roč. 59, Suppl. 1, s. 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 a 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, roč.~59, Suppl. 1, s.~89-96. ISSN~0862-8408.

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