International Research Journal of Education and Technology

Machine learning (ML) has emerged as a transformative tool in healthcare, providing innovative solutions for managing chronic diseases like rheumatoid arthritis (RA). By leveraging vast datasets and advanced algorithms, ML enhances early diagnosis, improves personalized treatment, and offers predictive insights into disease progression. This paper explores the multifaceted applications of ML in RA, highlighting its potential to revolutionize patient care while addressing associated challenges, such as data privacy, algorithm transparency, and integration with existing healthcare frameworks.

Keywords

Rheumatoid Arthritis, Machine Learning, Personalized Medicine, Predictive Analytics, Early Diagnosis, Healthcare Technology, Artificial Intelligence, Data Privacy, Patient Engagement, Chronic Disease Management