Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms
PaperId: :  17532
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17532
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ann Mariya GeorgeIES College of Engineering Thrissur,kerala,India
Shejina N MIES College of Engineering Thrissur,kerala,India

Abstract

Computer Science & Engineering
Machine Learning, Chronic Kidney Disease, Classification, Accuracy, Logistic Regression, Support Vector Machine.
According to India's health statistics on Chronic Kidney Disease (CKD) 63,538 cases have been registered. CKD is more conventional among males than females. Agonizingly, India ranks among top 17 countries in CKD since 2015, which is characterized by a gradual loss of excretory organ performance .Machine Learning is used across many sectors around the world mainly in healthcare industry. In the human body, the kidney is instrumental in absorbing and discharging all the toxic and unessential materials, typically wastes, from the body through egesting and excretion process. As per the study ,in India, there are approximately one million cases of Chronic Kidney Disease (CKD) every year. It is dangerous to kidney and it produces gradual loss in kidney functionality. Nevertheless, it is unpredictable because its symptoms grow gradually and are not unique to the disorder, it is important to detect CKD at its early stage. In the early stages of CKD, a few signs or symptoms will be observed. Machine Learning, is making sensible applications in the areas such as analyzing medical science outcomes, sleuthing fraud etc. For the prediction of CKD different machine learning algorithms are used.This making sensible applications in the areas such as analyzing medical science outcomes, sleuthing fraud etc. For the prediction of chronic diseases various machine learning algorithms are implemented.Based on its accuracy differentiating the performance of various machine learning algorithms .In this research work has idolized Rcode to compare their performance. The pivotal purpose of this study is to analyze the Chronic Kidney Disease dataset and conduct CKD and Non CKD classification cases.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Ann Mariya George, and Shejina N M. "A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 5013-5020
MLA Ann Mariya George, and Shejina N M. "A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 5013-5020.
APA Ann Mariya George, & Shejina N M. (2022). A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 5013-5020.
Chicago Ann Mariya George, and Shejina N M. "A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 5013-5020.
Oxford Ann Mariya George, and Shejina N M. 'A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 5013-5020. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_New_Emphasis_to_Predict_Chronic_Kidney_Disease_using_Machine_Learning_Algorithms_ijariie17532.pdf (Accessed : 26 March 2024).
Harvard Ann Mariya George, and Shejina N M. (2022) 'A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 5013-5020IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_New_Emphasis_to_Predict_Chronic_Kidney_Disease_using_Machine_Learning_Algorithms_ijariie17532.pdf (Accessed : 26 March 2024)
IEEE Ann Mariya George, and Shejina N M, "A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 5013-5020, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_New_Emphasis_to_Predict_Chronic_Kidney_Disease_using_Machine_Learning_Algorithms_ijariie17532.pdf [Accessed : 26 March 2024].
Turabian Ann Mariya George, and Shejina N M. "A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (26 March 2024).
Vancouver Ann Mariya George, and Shejina N M. A New Emphasis to Predict Chronic Kidney Disease using Machine Learning Algorithms. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 26 March 2024]; 8(3) : 5013-5020. Available from: https://ijariie.com/AdminUploadPdf/A_New_Emphasis_to_Predict_Chronic_Kidney_Disease_using_Machine_Learning_Algorithms_ijariie17532.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 3/26/2024 5:29:35 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
Automated Pneumonia Detection Using ResNet50 Deep Learning ModelDepartment of Computer Science & Engineering, D.Y.Patil Technical Campus, Shivaji University, KolhapurSohan Sanjay Kamalakar Download
MULTI-DISEASE DETECTION USING MACHINE LEARNINGComputer EngineeringNamithadevi N N Download
NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGD VYSHNAVI Download
12