DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

A Rough Set-Based Model for analyzing arrhythmia type diseases using the UCI database


Article Information

Title: A Rough Set-Based Model for analyzing arrhythmia type diseases using the UCI database

Authors: Aaron Don M. Africa

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2019

Volume: 14

Issue: 14

Language: English

Categories

Abstract

Arrhythmia is a disease that affects many people. This disease is when the heart has an irregular heartbeat. This disease may cause premature or extra heartbeats and the person who has it may feel that his/her heart is beating slowly. This disease is life threatening especially when not diagnosed as the heart cannot pump blood, so death can occur within minutes. Knowing if you have this disease early on is very advantageous as it may save a person’s life. The main problem is this disease is very hard to diagnose as it is misunderstood as other diseases. Also when diagnosing arrhythmia not all information is available. There are many reasons why they are not available like testing that parameter is hard to test. This research will develop a Rough Set-Based Model for analyzing arrhythmia type diseases using the UCI database. The model that will be developed will guide the person diagnosing the disease to give the proper recommendation. The Rough Set Theory will be used to reduce the rules for easy diagnosis. The database that will be used is the UCI arrhythmia database.


Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...