Title :
Fuzzy chest pain assessment for unstable angina based on Braunwald symptomatic and obesity clinical conditions
Author :
Orsi, Thiago ; Araujo, Ernesto ; Simoes, Ricardo
Author_Institution :
Fac. de Cienc. Med. de Minas Gerais (FCMMG), Belo Horizonte, Brazil
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.
Keywords :
fuzzy logic; fuzzy set theory; health care; medical diagnostic computing; pattern classification; Braunwald symptomatic condition; FBMI; anginal chest pain; chest pain clinic approach; clinical health condition; fuzzy Braunwald symptomatic classification; fuzzy body mass index; fuzzy logic; fuzzy medical diagnostic decision system; fuzzy obesity risk factor; fuzzy obesity-based Braunwald symptomatic chest pain assessment; fuzzy set theory; healthcare professionals; obesity clinical conditions; primary health care; unstable angina; Indexes; Input variables; Medical diagnostic imaging; Obesity; Pain;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891836