Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India

Research Article

Classification of Osteoarthritis from Rheumatoid Arthritis based on Stacked Ensemble Machine Learning

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  • @INPROCEEDINGS{10.4108/eai.23-11-2023.2343193,
        author={Ranjani  R and Thara  L},
        title={ Classification of Osteoarthritis from Rheumatoid Arthritis based on Stacked Ensemble Machine Learning},
        proceedings={Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India},
        publisher={EAI},
        proceedings_a={IACIDS},
        year={2024},
        month={3},
        keywords={machine learning rheumatoid arthritis osteoarthritis autoimmune disease deep learning},
        doi={10.4108/eai.23-11-2023.2343193}
    }
    
  • Ranjani R
    Thara L
    Year: 2024
    Classification of Osteoarthritis from Rheumatoid Arthritis based on Stacked Ensemble Machine Learning
    IACIDS
    EAI
    DOI: 10.4108/eai.23-11-2023.2343193
Ranjani R1,*, Thara L2
  • 1: Research Scholar, Department of Computer Science, PSG College of Arts & Science
  • 2: Associate Professor and HOD, Department of MCA, PSG College of Arts & Science
*Contact email: mails2rranjani@mail.com

Abstract

There are two primary types of arthritis: osteoarthritis and rheumatoid arthritis, respectively. Pain and stiffness are symptoms of osteoarthritis when the cartilage and underlying bone deteriorate. Osteoarthritis seems to affect adults in their middle years more frequently. As an autoimmune disease, rheumatoid arthritis involves joint inflammation caused by an infection; our resistant system often assists in protecting our body from disease and infection. Using clinical data analysis, rheumatoid arthritis patients were predicted in this study. To identify rheumatic illness, clinical data were examined, and threshold values were periodically examined using the k-means approach for the RA factor, anti-CCP, SJC, and ESR factors. This data analysis suggested that rheumatoid disease might develop if either the RF or AC were positive. In this study, we used four criteria for rheumatic disease diagnosis to predict rheumatic disorders using machine learning.