Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features

Alizadehsani, Roohallah, Habibi, Jafar, Hosseini, Mohammad Javad, Boghrati, Reihane, Ghandeharioun, Asma, Bahadorian, Behdad and Sani, Zahra Alizadeh 2012, Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features, European journal of scientific research, vol. 82, no. 4, pp. 542-553.

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Title Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features
Author(s) Alizadehsani, Roohallah
Habibi, Jafar
Hosseini, Mohammad Javad
Boghrati, Reihane
Ghandeharioun, Asma
Bahadorian, Behdad
Sani, Zahra Alizadeh
Journal name European journal of scientific research
Volume number 82
Issue number 4
Start page 542
End page 553
Total pages 12
Publisher EuroJournals Publishing, Inc.
Place of publication [Mahé, Seychelles]
Publication date 2012
ISSN 1450-216X
1450-202X
Keyword(s) data mining
feature
coronary artery disease
Naïve Bayes algorithm
SMO algorithm
ensemble algorithm
diagnosis
Language eng
Indigenous content off
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30124747

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