A rough set-based model for analyzing arrhythmia type diseases using the UCI database

• Main Author: Africa, Aaron Don M.
• Format: text
• Published: Animo Repository 2019
• Subjects: Arrhythmia—Databases; Arrhythmia—Diagnosis; Rough sets; Biomedical; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3501
• Institution: De La Salle University

Arrhythmia is a disease that affects many people. This disease is mostly observed when the heart has an irregular heartbeat. It 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 one has 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 developed a Rough Set-Based Model for analyzing Arrhythmia Type Diseases using the UCI Database. The model that is developed will guide the person diagnosing the disease to give the proper recommendation. The Rough Set Theory is used to reduce the rules for easy diagnosis. © 2006-2019 Asian Research Publishing Network (ARPN).