High-performance in classification of heart disease using advanced supercomputing technique with cluster-based enhanced deep genetic algorithm

Author:

Bakhsh Ahmed A.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference29 articles.

1. Anuse A, Vyas V (2016) A novel training algorithm for convolutional neural network. Contr Intell Syst 2(3):221e34

2. Ahmad, F, Isa NAM, Hussain Z, Yahaya SZ, Boudville R, Rahman MFA, Saod AHM, Saad Z (2015) Enhanced genetic algorithm applied for global optimization. In: International Conference on Neural Information Processing, Springer, Cham, pp 198–205

3. Bashir S, Sikander Khan Z, Hassan Khan F, Anjum A, Bashir K (2019) Improving heart disease prediction using feature selection approaches. In: 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), IEEE, pp 619–623 

4. Butler-Yeoman T, Xue B, Zhang M (2015) Particle swarm optimization for feature selection: a hybrid filter-wrapper approach. In: IEEE congress on evolutionary computation (CEC)  

5. Detrano R (1998) VA Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, MD. PhD diss., Ph. D., Donor: David W. Aha. https://archive.ics.uci.edu/ml/datasets/Heart+Disease 

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