Cardiac Stroke Prediction Framework using Hybrid Optimization Algorithm under DNN


  • N. K. Al-Shammari Mechanical Engineering Department, University of Hail, Saudi Arabia
  • A. A. Alzamil Electrical Engineering Department, College of Engineering, University of Hail, Saudi Arabia
  • M. Albadarn Electrical Engineering Department, College of Engineering, University of Hail, Saudi Arabia
  • S. A. Ahmed School of Computing and Information Technology, REVA University, India
  • M. B. Syed School of Computing and Information Technology, REVA University, India
  • A. S. Alshammari Department of Electrical Engineering, University of Hail, Saudi Arabia
  • A. M. Gabr Physical Therapy Department, Faculty of Applied Medical Sciences, University of Hail, Saudi Arabia
Volume: 11 | Issue: 4 | Pages: 7436-7441 | August 2021 |


Heart weakness and restricted blood flow into the cavities can cause a range of strokes from mild to severe Heart strokes are primary caused due to the fat deposited on artery walls. The process reduces the intake of blood and internally causes a pseudo vacuum of air bubbles leading to a stroke which can be identified with high-end instrumentations. In this article, a detailed evaluation is processed with a Hybrid Optimization Algorithm (HOA). In the proposed technique, data are preprocessed using a label encoder and the missing values of the dataset are filled. Whale Optimization Algorithm (WOA) and Crow Search Algorithm(CSA) extract inter-connected patterns and learning features using a dedicated Deep Neural Networking (DNN) support. The proposed Hybrid Optimization Algorithm extracts features and the resultant values demonstrate a high accuracy range of 97.34%.


cardiac stroke prediction, cardiovascular disease, whale optimization algorithm, crow search algorithm, hybrid optimization algorithm


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K. Dracup, D. K. Moser, M. Eisenberg, H. Meischke, A. A. Alonzo, and A. Braslow, "Causes of delay in seeking treatment for heart attack symptoms," Social Science & Medicine, vol. 40, no. 3, pp. 379-392, Feb. 1995.

World Heart Federation. (accessed Jul. 20, 2021).

"Heart Attack and Stroke Symptoms," (accessed Jul. 20, 2021).

A. De Vos and N. Soens, The power of career counseling for enhanced talent and knowledge management. Northampton, MA, USA: Edward Elgar Publishing, 2008, pp. 119-138.

C. Jegan, "Heart Attack Prediction System Using Fuzzy C Means Classifier," IOSR Journal of Computer Engineering, vol. 14, no. 2, pp. 23-31, Jan. 2013.

A. H. Chen, S. Y. Huang, P. S. Hong, C. H. Cheng, and E. J. Lin, "HDPS: Heart disease prediction system," in 2011 Computing in Cardiology, Hangzhou, China, Sep. 2011, pp. 557-560.

C. S. Dangare and S. S. Apte, "Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques," International Journal of Computer Applications, vol. 47, no. 10, pp. 44-48, 2012.

L. Parthiban and R. Subramanian, "Intelligent Heart Disease Prediction System using CANFIS and Genetic Algorithm," International Journal of Biology and Life Sciences, vol. 3, no. 3, pp. 157-160, Jan. 2007.

F. Ali et al., "A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion," Information Fusion, vol. 63, pp. 208-222, Nov. 2020.

Y. Pan, M. Fu, B. Cheng, X. Tao, and J. Guo, "Enhanced Deep Learning Assisted Convolutional Neural Network for Heart Disease Prediction on the Internet of Medical Things Platform," IEEE Access, vol. 8, pp. 189503-189512, 2020.

S. Mohan, C. Thirumalai, and G. Srivastava, "Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques," IEEE Access, vol. 7, pp. 81542-81554, 2019.

G. Manogaran, R. Varatharajan, and M. K. Priyan, "Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System," Multimedia Tools and Applications, vol. 77, no. 4, pp. 4379-4399, Feb. 2018.

S. U. Amin, K. Agarwal, and R. Beg, "Genetic neural network based data mining in prediction of heart disease using risk factors," in IEEE Conference on Information Communication Technologies, Thuckalay, India, Apr. 2013, pp. 1227-1231.

"UCI Machine Learning Repository: Heart Disease Data Set." (accessed Jul. 20, 2021).

S. Mirjalili and A. Lewis, "The Whale Optimization Algorithm," Advances in Engineering Software, vol. 95, pp. 51-67, May 2016.

N. Rana, M. S. A. Latiff, S. M. Abdulhamid, and H. Chiroma, "Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments," Neural Computing and Applications, vol. 32, no. 20, pp. 16245-16277, Oct. 2020.

G. I. Sayed, A. Darwish, A. E. Hassanien, and J.-S. Pan, "Breast Cancer Diagnosis Approach Based on Meta-Heuristic Optimization Algorithm Inspired by the Bubble-Net Hunting Strategy of Whales," in Genetic and Evolutionary Computing, Fuzhou, China, Nov. 2016, pp. 306-313.

M. M. Mafarja and S. Mirjalili, "Hybrid Whale Optimization Algorithm with simulated annealing for feature selection," Neurocomputing, vol. 260, pp. 302-312, Oct. 2017.

F. Zhu, D. R. Gonzalez, T. Carpenter, M. Atkinson, and J. Wardlaw, "Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging," IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 5, pp. 950-958, Sep. 2013.

G. Montavon, W. Samek, and K.-R. Muller, "Methods for interpreting and understanding deep neural networks," Digital Signal Processing, vol. 73, pp. 1-15, Feb. 2018.

D. Ciregan, U. Meier, and J. Schmidhuber, "Multi-column deep neural networks for image classification," in IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, Jun. 2012, pp. 3642-3649.

T. Nguyen, A. Khosravi, D. Creighton, and S. Nahavandi, "Classification of healthcare data using genetic fuzzy logic system and wavelets," Expert Systems with Applications, vol. 42, no. 4, pp. 2184-2197, Mar. 2015.

V. Cherian and M. S. Bindu, "Heart Disease Prediction Using Naïve Bayes Algorithm and Laplace Smoothing Technique," International Journal of Computer Science Trends and Technology, vol. 5, no. 2, pp. 68-73, 2017.

S. Tuli et al., "HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments," Future Generation Computer Systems, vol. 104, pp. 187-200, Mar. 2020.

J. P. Li, A. U. Haq, S. U. Din, J. Khan, A. Khan, and A. Saboor, "Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare," IEEE Access, vol. 8, pp. 107562-107582, 2020.

N. K. Al-Shammari, H. B. Almansour, and M. B. Syed, "Development of an Automatic Contactless Thermometer Alert System Based on GPS and Population Density," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 7006-7010, Apr. 2021.

N. K. Al-Shammari, T. H. Syed, and M. B. Syed, "An Edge - IoT Framework and Prototype based on Blockchain for Smart Healthcare Applications," Engineering, Technology & Applied Science Research, vol. 11, no. 4, pp. 7326-7331, Aug. 2021.


How to Cite

N. K. Al-Shammari, “Cardiac Stroke Prediction Framework using Hybrid Optimization Algorithm under DNN”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 4, pp. 7436–7441, Aug. 2021.


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