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.12 Issue.2

Submission
Last date
28-Apr-2026
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-12,Issue-2. 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: :  Autoimmune Disease Detection in women Using Machine Learning Approach
PaperId: :  26654
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26654
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
J. L. V. S. ALLIANCE UNIVERSUTY
K. Chenna Kesava GoudAlliance University
R. Nanda SaiAlliance University
Keerthika VAlliance University

Abstract

computer science Engineering
Autoimmue disease, machine learning, machine learning models that is used in the project
: Autoimmune disease disproportionately affect women and often present with complex, overlapping symptoms that make early diagnosis challenging. This study explores the application of machine learning (ML) techniques to improve the early and accurate detection of autoimmune conditions in female patients. By utilizing patient data including clinical records, laboratory results, and symptom histories various ML models were trained and evaluated for predictive performance. Algorithms such as Random Forest, Support Vector Machine (SVM), and Neural Networks demonstrated significant potential in classifying and identifying disease patterns. The results highlight the capacity of ML to support healthcare professionals in diagnosing autoimmune disorders more efficiently, ultimately contributing to personalized treatment strategies and improved patient outcomes.

Citations

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

IJARIIE J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V. "Autoimmune Disease Detection in women Using Machine Learning Approach" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 1709-1713
MLA J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V. "Autoimmune Disease Detection in women Using Machine Learning Approach." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 1709-1713.
APA J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, & Keerthika V. (2025). Autoimmune Disease Detection in women Using Machine Learning Approach. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 1709-1713.
Chicago J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V. "Autoimmune Disease Detection in women Using Machine Learning Approach." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 1709-1713.
Oxford J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V. 'Autoimmune Disease Detection in women Using Machine Learning Approach', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 1709-1713. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Autoimmune_Disease_Detection_in_women_Using_Machine_Learning_Approach_ijariie26654.pdf (Accessed : ).
Harvard J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V. (2025) 'Autoimmune Disease Detection in women Using Machine Learning Approach', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 1709-1713IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Autoimmune_Disease_Detection_in_women_Using_Machine_Learning_Approach_ijariie26654.pdf (Accessed : )
IEEE J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V, "Autoimmune Disease Detection in women Using Machine Learning Approach," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 1709-1713, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Autoimmune_Disease_Detection_in_women_Using_Machine_Learning_Approach_ijariie26654.pdf [Accessed : ].
Turabian J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V. "Autoimmune Disease Detection in women Using Machine Learning Approach." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver J. L. V. S. , K. Chenna Kesava Goud, R. Nanda Sai, and Keerthika V. Autoimmune Disease Detection in women Using Machine Learning Approach. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 1709-1713. Available from: https://ijariie.com/AdminUploadPdf/Autoimmune_Disease_Detection_in_women_Using_Machine_Learning_Approach_ijariie26654.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Heart Attack Risk Prediction Using Retinal Eye ImagesMachine LearningPrasanthi Siri Kuruma Download
Real Time Zero Knowledge Privacy & Ai Security for currency Transaction Using EthereumComputer EngineeringPANTHULA SAI MURALI Download
JANMITRA - AI POWERED PLATFORM BRIDGING SOCIETIES WITH NGO'S AND ORGANIZATIONScomputer engineeringUMESH AAGDE Download
Improvising Personalized Travel Recommendation System with Recency Effectscomputer science engineeringMrs. Fathima Zahera Download
Ensemble Models and Explainable AI for Malware DetectionComputer Science M Vandana Download
Smart E-Healthcare SystemComputer EngineeringVattikoti Sai Download
SURVEY ON RETAIL INSIGHT GENERATOR: VISION AI FOR CUSTOMER ANALYTICS AND HEATMAPSComputer EngineeringAmalkrishna K B Download
SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEMComputer science Athira Thomas Download
Consumer Behavioural Analysis Using Advanced Clustering TechniquesComputer Science and EngineeringSupriya Thati Download
A Low-Cost Smartphone-Based Sign Language Translator Using Computer Vision for Real-Time Deaf–Hearing CommunicationComputer Science and EngineeringHarsh Mishra Download
Predicting Stock Market Trends using Deep Learning TechniquesComputer Science and EngineeringAkruthi Shere Download
A SURVEY ON SMART VOTING SYSTEM USING BLOCKCHAINComputer Science EngineeringAleena Shaju Download
A SURVEY ON SECURESCAN 360: CYBER INTEGRATED SYSTEM FOR THREAT DETECTION AND IMAGE AUTHENTICATIONComputer Science and EngineeringAparna Sunil Download
Efficient Use of Dialog Boxes in GUI Development using VB.NETComputer ScienceDR. RISHI MATHUR Download
A SURVEY ON HOPEBITE: AI-POWERED SMART FOOD DISTRIBUTION FOR COMMUNITIES IN NEEDComputer Science and EngineeringJUGAL KRISHNA V S 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 © 2026. IJARIIE. All Rights Reserved.