Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

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

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Prediction of Chronic Kidney Disease by Deep learning Method
PaperId: :  16706
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-16706
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Madhivathana SSRM Valliammai Engineering College
Dr.B.VanathiSRM Valliammai Engineering College
K. ShanmugamSRM Valliammai Engineering College

Abstract

Computer Engineering
Chronic kidney Disease, Deep learning, Deep Neural Network
Chronic kidney disease (CKD) is among the highest twenty causes of death worldwide and affects some 10 percent of the globe adult population. CKD could be a disorder that disrupts traditional urinary organs operation. glomerular Filtration Rate (GFR) and kidney damage markers are employed by researchers round the world to spot CKD as a condition that ends up in reduced urinary organ function over time. An individual with CKD encompasses a higher probability of dying young. Doctors face a tough task in identification the various illnesss connected to CKD at associate early stage so as to stop the disease. This project presents a completely unique deep learning model for the early detection and prediction of CKD. The objectives to make a deep neural network and compare its performance to that of other contemporary machine learning techniques. In tests, the typical of the associated options was accustomed to replace all missing values within the data set. After that, the neural network’s optimum parameters were mounted by establishing the parameters and running multiple trials. The proposed Deep neural model outperformed the other 3 classifiers (Support Vector Machine (SVM), call Tree and Random Forest) by achieving smart accuracy. The planned approach can be a great tool for nephrologists in detecting CKD.

Citations

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

IJARIIE Madhivathana S, Dr.B.Vanathi, and K. Shanmugam. "Prediction of Chronic Kidney Disease by Deep learning Method" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 1072-1076
MLA Madhivathana S, Dr.B.Vanathi, and K. Shanmugam. "Prediction of Chronic Kidney Disease by Deep learning Method." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 1072-1076.
APA Madhivathana S, Dr.B.Vanathi, & K. Shanmugam. (2022). Prediction of Chronic Kidney Disease by Deep learning Method. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 1072-1076.
Chicago Madhivathana S, Dr.B.Vanathi, and K. Shanmugam. "Prediction of Chronic Kidney Disease by Deep learning Method." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 1072-1076.
Oxford Madhivathana S, Dr.B.Vanathi, and K. Shanmugam. 'Prediction of Chronic Kidney Disease by Deep learning Method', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 1072-1076. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Prediction_of_Chronic_Kidney_Disease_by_Deep_learning_Method_ijariie16706.pdf (Accessed : 01 July 2022).
Harvard Madhivathana S, Dr.B.Vanathi, and K. Shanmugam. (2022) 'Prediction of Chronic Kidney Disease by Deep learning Method', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 1072-1076IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Prediction_of_Chronic_Kidney_Disease_by_Deep_learning_Method_ijariie16706.pdf (Accessed : 01 July 2022)
IEEE Madhivathana S, Dr.B.Vanathi, and K. Shanmugam, "Prediction of Chronic Kidney Disease by Deep learning Method," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 1072-1076, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Prediction_of_Chronic_Kidney_Disease_by_Deep_learning_Method_ijariie16706.pdf [Accessed : 01 July 2022].
Turabian Madhivathana S, Dr.B.Vanathi, and K. Shanmugam. "Prediction of Chronic Kidney Disease by Deep learning Method." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (01 July 2022).
Vancouver Madhivathana S, Dr.B.Vanathi, and K. Shanmugam. Prediction of Chronic Kidney Disease by Deep learning Method. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 01 July 2022]; 8(3) : 1072-1076. Available from: https://ijariie.com/AdminUploadPdf/Prediction_of_Chronic_Kidney_Disease_by_Deep_learning_Method_ijariie16706.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 7/1/2022 6:41:06 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.