IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 12, No 3: September 2023

Classification of cardiac disorders based on electrocardiogram data using a decision tree classification approach with the C45 algorithm

Sumiati Sumiati (Serang Raya University)
Viktor Vekky Ronald Repi (Jakarta National University)
Penny Hendriyati (STTIKOM Excellent Humans)
Anharudin Anharudin (Serang Raya University)
Afrasim Yusta (STTIKOM Excellent Humans)
Agung Triayudi (Jakarta National University)

Article Info

Publish Date
01 Sep 2023

Abstract

The limitations of medical personnel, especially heart disease, cause difficulties in diagnosing heart disorders, so diagnosing heart disorders is not easy, it takes the ability and experience of a cardiologist who has the expertise and experience to be able to accurately diagnose heart disorders. Several studies in the field of computing have been carried out in diagnosing cardiac abnormalities in patients. This study was conducted to accurately test the results of the classification of heart disorders using electrocardiogram medical record data with a C.45 decision tree approach. The results showed that the classification of heart defects obtained a mean squared error (MSE) value of 0.24, a root mean squared error (RMSE) value of 0.49, and an accuracy value of 75.33% with the C4.5 algorithm.

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Journal Info
IAES International Journal of Artificial Intelligence (IJ-AI)
Website

Abbrev

IJAI

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...