Objective:
Cardiovascular, especially coronary artery disease (CAD), is the number one cause of death globally. Every year, more people die from cardiovascular disease than any other disease. There ...are several factors and symptoms of coronary artery disease that are easily recognized. To find out the severity of CAD, a diagnosis of CAD is needed to facilitate medical treatment. This study aims to explain the diagnostic process for CAD using a fuzzy system and to determine the accuracy of the fuzzy system.
Design and method:
This study uses a fuzzy system to diagnose the severity of coronary artery disease. Input variables used in the study were gender, age, pulse, systolic blood pressure, cholesterol, blood sugar, triglycerides, electrocardiogram (ECG), chest pain, shortness of breath, and cough. In making the system, 90 data were used which were then divided into two types of data, namely 70 training data and 20 testing data. The fuzzy inference system used in this study is the Mamdani inference system which uses centroid defuzzification and maximum defuzzifier mean of maxima (MOM). This defuzzification process is used to diagnose types of coronary artery disease, namely: CAD level 1 (Asymptomatic), CAD level 2 (Angina Pectoris), and CAD level 3 (Acute Myocardial Infarction).
Results:
The results of the research on the application of the fuzzy system for diagnosing coronary artery disease were the accuracy of the defuzzification centroid method of 98.5% for training data and 95% for testing data, while for the MOM defuzzification method, the accuracy level of training data was 98.5% and 90% for testing data.
Conclusions:
Based on the research results, it can be concluded that the centroid defuzzification method is better than the MOM defuzzification system for the coronary artery disease diagnosis system, so, it can be said that by using a fuzzy system with centroid defuzzification, the probability of correctly diagnosing one patient is 95%.
(Weakly) n-nil cleanness of the ring Zm Khashan,Hani A; Handam,Ali H
Communications Series A1 Mathematics & Statistics,
2/2018, Letnik:
67, Številka:
2
Journal Article
Recenzirano
Let R be an associative ring with identity. For a positive integer n≥2, an element a∈R is called n-potent if aⁿ=a . We define R to be (weakly) n-nil clean if every element in R can be written as a ...sum (a sum or a difference) of a nilpotent and an n-potent element in R. This concept is actually a generalization of weakly nil clean rings introduced by Danchev and McGovern, 6. In this paper, we completely determine all n,m∈ℕ such that the ring of integers modulo m, ℤm is (weakly) n-nil clean.
In this paper, we defined (F, h, a, u) -( ) -contractions using pair of (F, h) upper class functions for a-admissible and u-subadmissible mappings.We proved some fixed point theorems for this type ...contractive mappings in b-metric spaces. Our results generalize a-admissible results in the literature.
Ebola virus is one of the most virulent pathogens for humans. We present a mathematical description of different Susceptible-Exposed-Infectious- Recovered (SEIR) models. By using mathematical ...modeling and analysis, the latest major outbreak of Ebola virus in West Africa is described. Our aim is to study and discuss the properties of SEIR models with respect to Ebola virus, the information they provide, and when the models make sense. We added to the basic SEIR model demographic effects in order to analyze the equilibria with vital dynamics. Numerical simulations confirm the theoretical analysis. The control of the propagation of the virus through vaccination is investigated and the case study of Liberia is discussed in detail.
In this study, some necessary and sufficient conditions are given
for the stability of some class of difference equations including generalized
difference operator. For this, Schur-Cohn criteria is ...used and some examples
are given to verify the results obtained.
In the present paper, we introduce Stancu type generalization of (p, q)-Szasz-Mirakyan-Baskakov operators and investigate their approximation properties such as weighted approximation, rate of ...convergence and pointwise convergence.
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