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Pattern of Symptom Relationship on Type of Heart Disease Using Pearson Correlation Coefficient
Tb Ai Munandar (a*), Sumiati (a), Vidila Rosalina (b)

a) Informatics Dept., Faculty of Information Technology, Universitas Serang Raya
*tbaimunandar[at]gmail.com
b) Computer Engineering, Faculty of Information Technology, Universitas Serang Raya


Abstract

The relationship of a symptom on a type of disease provides information on how strong the disease is affected by the symptom. The strength of the relationship of symptom has not been much researched, yet it is very interesting and important to do in order to strengthen the formation of final hypothesis, especially in the development of expert system. This research was conducted to map the relationship of a symptom on the type of heart disease, based on the echocardiography value and the result of electrocardiogram measurement. About 150 data of patients with heart disease were analyzed using the approach of pearson correlation coefficient. The research result showed that the type of disease such as atrial septal defect was much affected by the aorta symptom, the value of left atrium, the ESD, the PR [PQ], and the QRS. The type of coronary artery disease was much affected by the symptom of the values of EDD and ESD. Most of the symptoms did not have a strong relationship for the type of diastolic disfunction disease. For the type of rheumatic heart disease, about 62.86% symptoms had relationships, spread from the weak relationship, the moderate, the strong, the very strong, and even to the perfect relationship. The type of normal resting echocardiography disease had the relationship level of “no relationship” between the higher symptoms, compared to the rheumatic heart disease; and as well as the types of left ventricular hypertrophy disease and the hypertensive heart disease.

Keywords: heart disease, relationship of a symptom, expert systems, echocardiography, electrocardiogram, pearson correlation coefficient

Topic: Computer and Communication Engineering

Link: https://ifory.id/abstract/EzRVuB9476dG

Conference: The Third International Conference on Innovation in Engineering and Vocational Education (ICIEVE 2019)

Plain Format | Corresponding Author (Tb Ai Munandar)

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