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RETRACTED ARTICLE: Efficient hybrid algorithm based on genetic with weighted fuzzy rule for developing a decision support system in prediction of heart diseases

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This article was retracted on 14 February 2024

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Abstract

In this article, the clinical decision support system is discussed under the weighted fuzzy rule approach and genetic algorithm for computer-aided heart disease determination. The problem of feature selection is solved by the answers formulated from the stochastic inquiry from the genetic algorithm. In this, the weighed fuzzy framework is built by the application of certain major highlights selected from the datasets. In this, the proposed framework adopted favorable positions by the fuzzy rule strategy and the leaning of the fuzzy approach is being successful by the application of offered weighed methodology activity. At last, the risk forecasting outcomes from the experimentation on UCI machine learning source and supercomputing techniques are assured in our proposed clinical decision support system is enhanced essentially when contrasted with other frameworks in terms of sensitivity specificity, sensitivity, and accuracy.

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Acknowledgements

This project was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant no. (G: 251-135-1441). The authors, therefore, acknowledge with thanks DSR for technical and financial support.

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Authors and Affiliations

  1. Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

    Abdul Zubar Hameed, Muhammad Atif Shahzad & Ahmed Atef S. Bakhsh

  2. Department of Mechanical Engineering, M.Kumarasamy College of Engineering, Karur, India

    Balamurugan Ramasamy

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  1. Abdul Zubar Hameed
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  2. Balamurugan Ramasamy
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  3. Muhammad Atif Shahzad
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  4. Ahmed Atef S. Bakhsh
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Correspondence to Abdul Zubar Hameed.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s11227-024-05969-2"

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Hameed, A.Z., Ramasamy, B., Shahzad, M.A. et al. RETRACTED ARTICLE: Efficient hybrid algorithm based on genetic with weighted fuzzy rule for developing a decision support system in prediction of heart diseases. J Supercomput 77, 10117–10137 (2021). https://doi.org/10.1007/s11227-021-03677-9

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  • DOI: https://doi.org/10.1007/s11227-021-03677-9

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