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International Journal of Neutrosophic Science
Volume 21 , Issue 2, PP: 68-74 , 2023 | Cite this article as | XML | Html |PDF

Title

Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm

  Piedad Acurio Padilla 1 * ,   Evelyn Betancourt Rubio 2 ,   Walter Vayas Valdiviezo 3 ,   Mohammed k. Hassan 4

1  Universidad Regional Autónoma de los Andes, Ecuador
    (ua.piedadacurio@uniandes.edu.ec)

2  Universidad Regional Autónoma de los Andes, Ecuador
    (us.evelynbr17@uniandes.edu.ec)

3  Universidad Regional Autónoma de los Andes, Ecuador
    (ua.waltervayas@uniandes.edu.ec)

4  Mechatronics department, Faculty of Engineering, Horus university-Egypt (HUE), Egypt
    (mkhassan@horus.edu.eg)


Doi   :   https://doi.org/10.54216/IJNS.210206

Received: February 14, 2023 Revised: April 21, 2023 Accepted: May 27, 2023

Abstract :

Heart disease, often known as cardiovascular illness, encompasses a broad range of heart-related disorders and has emerged as the leading cause of mortality during the last few decades everywhere in the globe. Numerous hazards are linked to cardiovascular disease, and timely, effective, and practical methods for making an early diagnosis are required for effective and efficient treatment. In this study, we describe a novel clustering technique for data that is unreliable clustering called neutrosophic c-means (NCM), which draws inspiration from both fuzzy c-means and the neutrosophic set architecture. The NCM is used to predict heart disease. There are four different databases included in the collection, all of which were created in 1988: Cleveland, Hungary, Switzerland, and Long Beach V. There are 76 qualities total, such as the anticipated characteristic, however only 14 have been used in any of the published trials.

Keywords :

Neutrosophic C-Means Clustering; Clustering; Heart Disease Prediction. 

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Cite this Article as :
Style #
MLA Piedad Acurio Padilla, Evelyn Betancourt Rubio, Walter Vayas Valdiviezo, Mohammed k. Hassan. "Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm." International Journal of Neutrosophic Science, Vol. 21, No. 2, 2023 ,PP. 68-74 (Doi   :  https://doi.org/10.54216/IJNS.210206)
APA Piedad Acurio Padilla, Evelyn Betancourt Rubio, Walter Vayas Valdiviezo, Mohammed k. Hassan. (2023). Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm. Journal of International Journal of Neutrosophic Science, 21 ( 2 ), 68-74 (Doi   :  https://doi.org/10.54216/IJNS.210206)
Chicago Piedad Acurio Padilla, Evelyn Betancourt Rubio, Walter Vayas Valdiviezo, Mohammed k. Hassan. "Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm." Journal of International Journal of Neutrosophic Science, 21 no. 2 (2023): 68-74 (Doi   :  https://doi.org/10.54216/IJNS.210206)
Harvard Piedad Acurio Padilla, Evelyn Betancourt Rubio, Walter Vayas Valdiviezo, Mohammed k. Hassan. (2023). Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm. Journal of International Journal of Neutrosophic Science, 21 ( 2 ), 68-74 (Doi   :  https://doi.org/10.54216/IJNS.210206)
Vancouver Piedad Acurio Padilla, Evelyn Betancourt Rubio, Walter Vayas Valdiviezo, Mohammed k. Hassan. Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm. Journal of International Journal of Neutrosophic Science, (2023); 21 ( 2 ): 68-74 (Doi   :  https://doi.org/10.54216/IJNS.210206)
IEEE Piedad Acurio Padilla, Evelyn Betancourt Rubio, Walter Vayas Valdiviezo, Mohammed k. Hassan, Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm, Journal of International Journal of Neutrosophic Science, Vol. 21 , No. 2 , (2023) : 68-74 (Doi   :  https://doi.org/10.54216/IJNS.210206)