Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease-Reference-Cited by-同舟云学术

Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease

Published:2019-12-02 Issue:1 Volume:38 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Zomorodi‐moghadam Mariam¹^ORCID,Abdar Moloud²,Davarzani Zohreh³,Zhou Xujuan⁴,Pławiak Pawel⁵^ORCID,Acharya U.Rajendra⁶

Affiliation:

1. Department of Computer Engineering Ferdowsi University of Mashhad Mashhad Iran

2. Département d'Informatique Université du Québec à Montré al Montré al, Quebec Canada

3. Department of Computer Engineering PNU University Tehran Iran

4. School of Management and Enterprise University of Southern Queensland Queensland Australia

5. Institute of Telecomputing, Faculty of Physics, Mathematics and Computer Science Cracow University of Technology Krakow Poland

6. Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore Singapore

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12485

Reference71 articles.

1. Using decision trees in data mining for predicting factors influencing of heart disease;Abdar M.;Carpathian Journal of Electronic & Computer Engineering,2015

2. Comparing performance of data mining algorithms in prediction heart diseases;Abdar M.;International Journal of Electrical & Computer Engineering,2015

3. Impact of patients'gender on parkinson's disease using classification algorithms;Abdar M.;Journal of AI and Data Mining,2018

4. A new nested ensemble technique for automated diagnosis of breast cancer

5. Classification of heart rate data using artificial neural network and fuzzy equivalence relation

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