Diagnosis of Heart Disease using Fuzzy Resolution Mechanism
نویسندگان
چکیده
منابع مشابه
Generating Rules for Advanced Fuzzy Resolution Mechanism to Diagnosis Heart Disease
6 ABSTRACT Fuzzy logic plays an important role in the field of medicine. Many diseases are diagnosed using fuzzy logic. Heart disease is the number one killer to the human community throughout the world. This study was conducted to diagnosis the heart disease among the patients. The components of this study are Fuzzification, Generating rules for Advanced Fuzzy Resolution Mechanism and defuzzif...
متن کاملDiagnosis of Coronary Artery Disease using Neuro-fuzzy-based Method
Background & Aim: Coronary artery disease is one of the most common diseases in different societies. Coronary angiography is established as one of the best methods for diagnosis of this disease. Angiography is an invasive and costly method. Furthermore, it is associated with risks such as death, heart attack, and stroke. Thus, this study introduces a neuro-fuzzy-based method which can help the ...
متن کاملDiagnosis of Heart Disease Using Binary Grasshopper Optimization Algorithm and K-Nearest Neighbors
Introduction: The heart is one of the main organs of the human body, and its unhealthiness is an important factor in human mortality. Heart disease may be asymptomatic, but medical tests can predict and diagnose it. Diagnosis of heart disease requires extensive experience of specialist physicians. The aim of this study is to help physicians diagnose heart disease based on hybrid Binary Grasshop...
متن کاملDiagnosis Of Heart Disease Using Datamining Algorithm
The diagnosis of heart disease is a significant and tedious task in medicine. The healthcare industry gathers enormous amounts of heart disease data that regrettably, are not “mined” to determine concealed information for effective decision making by healthcare practitioners. The term Heart disease encompasses the diverse diseases that affect the heart. Cardiomyopathy and Cardiovascular disease...
متن کاملthe use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Artificial Intelligence
سال: 2011
ISSN: 1994-5450
DOI: 10.3923/jai.2012.47.55