Heart Disease Diagnosis Using C4.5 Algorithms - A Case Study

Ali Idri, Ilham Kadi, Halima Benjelloun

Abstract

Data mining (DM) is a powerful process to extract knowledge and discover new patterns embedded in large data sets. DM has been increasingly used in medicine, particularly in cardiology. In fact, data mining applications can greatly benefits all parts involved in cardiology such as patients, cardiologists and nurses. Among the various units of a cardiology department, Autonomic Nervous System (ANS) is one of the most important and active unit. Thus, the aim of this study is to build a decision tree-based classifier using a data set collected from an ANS unit of the Moroccan university hospital Avicenne. The decision tree construction algorithm used in this study is C4.5. The classifier obtained presented a high level of accuracy measured in terms of error rate.

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Paper Citation


in Harvard Style

Idri A., Kadi I. and Benjelloun H. (2015). Heart Disease Diagnosis Using C4.5 Algorithms - A Case Study . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 397-404. DOI: 10.5220/0005216403970404


in Bibtex Style

@conference{healthinf15,
author={Ali Idri and Ilham Kadi and Halima Benjelloun},
title={Heart Disease Diagnosis Using C4.5 Algorithms - A Case Study},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={397-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005216403970404},
isbn={978-989-758-068-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Heart Disease Diagnosis Using C4.5 Algorithms - A Case Study
SN - 978-989-758-068-0
AU - Idri A.
AU - Kadi I.
AU - Benjelloun H.
PY - 2015
SP - 397
EP - 404
DO - 10.5220/0005216403970404