Publication detail

Risk Stratification Of Patients After Myocardial Infarction By The Fuzzy And Weighted Methods

HONZÍK, P. HRABEC, J. LÁBROVÁ, R. SEMRÁD, B. HONZÍKOVÁ, N.

English title

Risk Stratification Of Patients After Myocardial Infarction By The Fuzzy And Weighted Methods

Type

conference paper

Language

en

Original abstract

Patients surviving acute myocardial infarction are at risk of cardiac death. The predictive value of noninvasive indices of risk (ejection fraction<40%, positive late potentials, a frequency of ventricular premature complexes>10/hour, baroreflex sensitivity<3ms/mmHg or low heart rate variability) is insufficient. A new fuzzy method for the stratification of patients at risk, which takes into account that the borderline between a risky and non-risky value of a risk factor is not sharp, was developed. The results show an increase of prediction accuracy.

English abstract

Patients surviving acute myocardial infarction are at risk of cardiac death. The predictive value of noninvasive indices of risk (ejection fraction<40%, positive late potentials, a frequency of ventricular premature complexes>10/hour, baroreflex sensitivity<3ms/mmHg or low heart rate variability) is insufficient. A new fuzzy method for the stratification of patients at risk, which takes into account that the borderline between a risky and non-risky value of a risk factor is not sharp, was developed. The results show an increase of prediction accuracy.

Keywords in English

fuzzy prediction infarction

Released

01.01.2002

Publisher

Brno University of Technology, VUTIUM Press Brno

Location

Brno, Czech Republic

ISBN

80-214-2120-7

Book

Analysis of Biomdedical Signals and Images

Pages count

3

BIBTEX


@inproceedings{BUT4732,
  author="Petr {Honzík} and Jakub {Hrabec} and Růžena {Lábrová} and Bořivoj {Semrád} and Nataša {Honzíková},
  title="Risk Stratification Of Patients After Myocardial Infarction By The Fuzzy And Weighted Methods",
  booktitle="Analysis of Biomdedical Signals and Images",
  year="2002",
  month="January",
  publisher="Brno University of Technology, VUTIUM Press Brno",
  address="Brno, Czech Republic",
  isbn="80-214-2120-7"
}