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Title: :  Chronic Kidney Disease Classification using Machine Learning Methods
PaperId: :  20191
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20191
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhumi P PatelL.D. College of Engineering, Ahmedabad, Gujrat, India
Dr. Ankit K ShahL.D. College of Engineering, Ahmedabad, Gujrat, India

Abstract

Applied Instrumentation
The most significant health concern now is chronic kidney disease. In India and other nations of low- and middle-income, chronic kidney disorders are a major source of morbidity and an increase in mortality rates. worldwide all deaths of around 60 are caused by chronic diseases. In low- and middle-income nations, chronic illness deaths account for 80% of all fatalities worldwide. Chronic kidney disease is a potentially fatal condition that can be avoided with prompt, accurate prognosis and sensible safety measures. The purpose of the essay is to examine and comprehend a few methods for foretelling kidney disease. SVM and other classification approaches are used to categories chronic kidney disease (CKD). The MATLAB tool is utilised to detect the datasets in kidney illness in order to mine medical industry data.
CKD, Feature selection, SVM, ANN

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IJARIIE Bhumi P Patel, and Dr. Ankit K Shah. "Chronic Kidney Disease Classification using Machine Learning Methods" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 1004-1010
MLA Bhumi P Patel, and Dr. Ankit K Shah. "Chronic Kidney Disease Classification using Machine Learning Methods." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 1004-1010.
APA Bhumi P Patel, & Dr. Ankit K Shah. (2023). Chronic Kidney Disease Classification using Machine Learning Methods. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 1004-1010.
Chicago Bhumi P Patel, and Dr. Ankit K Shah. "Chronic Kidney Disease Classification using Machine Learning Methods." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 1004-1010.
Oxford Bhumi P Patel, and Dr. Ankit K Shah. 'Chronic Kidney Disease Classification using Machine Learning Methods', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 1004-1010. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Chronic_Kidney_Disease_Classification_using_Machine_Learning_Methods_ijariie20191.pdf (Accessed : ).
Harvard Bhumi P Patel, and Dr. Ankit K Shah. (2023) 'Chronic Kidney Disease Classification using Machine Learning Methods', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 1004-1010IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Chronic_Kidney_Disease_Classification_using_Machine_Learning_Methods_ijariie20191.pdf (Accessed : )
IEEE Bhumi P Patel, and Dr. Ankit K Shah, "Chronic Kidney Disease Classification using Machine Learning Methods," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 1004-1010, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Chronic_Kidney_Disease_Classification_using_Machine_Learning_Methods_ijariie20191.pdf [Accessed : ].
Turabian Bhumi P Patel, and Dr. Ankit K Shah. "Chronic Kidney Disease Classification using Machine Learning Methods." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Bhumi P Patel, and Dr. Ankit K Shah. Chronic Kidney Disease Classification using Machine Learning Methods. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 1004-1010. Available from: https://ijariie.com/AdminUploadPdf/Chronic_Kidney_Disease_Classification_using_Machine_Learning_Methods_ijariie20191.pdf
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