Authors:
Ali Idri
1
;
Ilham Kadi
1
and
Halima Benjelloun
2
Affiliations:
1
University Mohammed V of Rabat, Morocco
;
2
University Hospital Avicenne, Morocco
Keyword(s):
Data Mining, Decision Tree, C4.5 Algorithm, Autonomic Nervous System.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Decision Support Systems
;
Enterprise Information Systems
;
Health Information Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
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.