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 (203 Česká republika), Lubomír KŘIVAN (203 Česká republika), Petr LOKAJ (203 Česká republika), Růžena LÁBROVÁ (203 Česká republika), Zuzana NOVÁKOVÁ (203 Česká republika), Bohumil FIŠER (203 Česká republika) a Nataša HONZÍKOVÁ (203 Česká republika, garant)

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

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.

Podrobný výpis o publikaci