Harnessing AI for Early Detection of Rheumatoid Arthritis: A Machine Learning Approach
Introduction : Rheumatoid Arthritis (RA) is a chronic autoimmune disease that significantly impacts an individual's quality of life. Characterized by inflammation in the joints, RA causes pain, stiffness, and reduced mobility. Early diagnosis is crucial for effective treatment, yet traditional diagnostic methods often struggle with misdiagnosis in the early stages. Our research leverages Artificial Intelligence (AI) tools to predict the presence of RA, improving early detection accuracy and aiding medical professionals in faster decision-making. Problem Statement: The primary objective of this project was to introduce AI tools for predicting the presence of Rheumatoid Arthritis using clinical parameters such as: Rheumatoid Factor (RF) C-Reactive Protein (CRP) Body Mass Index (BMI) Smoking Status Age By utilizing machine learning models, our aim was to develop a robust prediction system to enhance early diagnosis. What is Rheumatoid Arthritis? Rheumatoid Arthritis (RA) is a long-t...