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RETRACTED ARTICLE: A hybrid approach for mortality prediction for heart patients using ACO-HKNN

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This article was retracted on 23 June 2022

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Abstract

Heart disease is the major cause of mortality in the world. The heart disease prediction from the clinical data is deliberate as the most important subject in clinical data analysis. Especially the size of data in health care is vast. Data mining (DM) assists decision and prediction from the raw health care data. DM converts the large collection into useful information. Several existing studies utilize the data mining approaches in heart disease prediction. There is only little research focused on selecting the important features which play a significant role in predicting heart disease is less. The aim of this study is to provide an enhanced approach with novel feature selection and classification technique to predict mortality in congestive heart failure patients. Through this approach the death rate due to heart disease will be decreased gradually. The ant colony optimization (ACO) algorithm is utilized for selecting the best feature for hybrid K-nearest neighbor (KNN) classifier. The proposed approach is compared with the prior classification techniques such as the Support vector machine, Naïve Bayes, KNN, C4.5, and decision tree. UCI Cleveland dataset is utilized for our implementation. Using the Netbeans IDE an experimental was conducted and the result shows that the heart disease prediction model provides a better result with accuracy of 99.2%.The present study shows the efficiency of the HKNN in heart disease prediction system. Initially important features are analyzed and then classification is utilized to obtain a better result.

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Authors and Affiliations

  1. Department of Computer Science and Applications, Vivekananda College of Arts and Sciences for Women (Autonomous), Elayampalayam, Tiruchengode, Tamilnadu, 637205, India

    C. Sowmiya & P. Sumitra

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  1. C. Sowmiya
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  2. P. Sumitra
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Correspondence to C. Sowmiya.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-04220-1

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Sowmiya, C., Sumitra, P. RETRACTED ARTICLE: A hybrid approach for mortality prediction for heart patients using ACO-HKNN. J Ambient Intell Human Comput 12, 5405–5412 (2021). https://doi.org/10.1007/s12652-020-02027-6

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  • DOI: https://doi.org/10.1007/s12652-020-02027-6

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