Conventional and neuro-fuzzy framework for diagnosis and therapy of cardiovascular disease

被引：1

作者：

Obot, Okure U. ^{[2
]}

Uzoka, Faith-Michael ^{[1
]}

Akinyokun, Oluwole C. ^{[3
]}

Andy, Joseph J. ^{[4
]}

机构：

[1] Mt Royal Univ, Dept Comp Sci & Informat Syst, 4825 Mt Royal Gate SW, Calgary, AB T3E 6K6, Canada

[2] Univ Uyo, Dept Comp Sci, Uyo, Nigeria

[3] Fed Univ Technol Akure, Dept Comp Sci, Akure, Nigeria

[4] Univ Uyo, Teaching Hosp, Dept Cardiol, Uyo, Nigeria

来源：

BIO-ALGORITHMS AND MED-SYSTEMS | 2013年 / 9卷 / 03期

关键词：

cardiovascular; diagnosis; emotional filter; fuzzy logic; heart failure; neural networks; neuro-fuzzy; therapy;

D O I：

10.1515/bams-2013-0018

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this article, we present the conventional method and neuro-fuzzy model for the diagnosis and therapy of heart disease. The neuro-fuzzy system provides a basis for creating a decision support system that has a learning ability and the capacity to deal with vagueness and unstructuredness in disease management. The decision support engine carries out the cognitive and emotional filtering of the objective and subjective feelings of the medical practitioner. These filters further refine the diagnosis and therapy processes by taking care of the contextual elements.

引用

页码：115 / 133

页数：19

共 32 条

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