Fuzzy Chest Pain Assessment for Unstable Angina based on Braunwald Symptomatic and Obesity Clinical Conditions

Fuzzy Chest Pain Assessment for Unstable Angina based on Braunwald Symptomatic and Obesity Clinical Conditions

Author Orsi, Thiago Google Scholar
Araujo, Ernesto Autor UNIFESP Google Scholar
Simoes, Ricardo Google Scholar
IEEE Google Scholar
Institution FCMMG
Universidade Federal de São Paulo (UNIFESP)
Inteligencia Artificial Med Ltda IAMED
Abstract A fuzzy medical diagnostic decision system for helping support to evaluate patients with anginal chest pain and obesity clinical condition is proposed in this paper. Such an approach is based on the Braunwald symptomatic classification, the fuzzy set theory and fuzzy logic, and a risk obesity factor determined by a simplified Fuzzy Body Mass Index (FBMI). The fuzzy Braunwald symptomatic classification intertwined with the fuzzy obesity risk factor overwhelm the current rapid access chest pain clinic approaches that do not discriminate the obesity comorbidity or takes into account the subjectiveness, uncertainty, imprecision, and vagueness concerning such a clinical health condition. The resulting fuzzy obesity-based Braunwald symptomatic chest pain assessment is an alternative to support healthcare professionals in primary health care for patients with anginal chest pain worsened by the obesity clinical condition.
Language English
Date 2014-01-01
Published in 2014 Ieee International Conference On Fuzzy Systems (fuzz-ieee). New York: Ieee, p. 1076-1082, 2014.
ISSN 1544-5615 (Sherpa/Romeo, impact factor)
Publisher Ieee
Extent 1076-1082
Origin http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891836
Access rights Closed access
Type Conference paper
Web of Science ID WOS:000350793500154
URI http://repositorio.unifesp.br/11600/41937

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