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@article{162039,
        author = {P.Keerthan Krishna and K.Chakradhar and Y.Chakradhar and K.Chandana and N.Satvik and A.Chanakya},
        title = {BRAIN DISEASE},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {7},
        pages = {278-282},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162039},
        abstract = {In recent years, health information analysis has become a focal point for cutting-edge research, propelled by advances in machine learning (ML), accelerated processors, and the proliferation of health data. ML algorithms integrated into the health sector significantly enhance disease prognosis. Users securely upload health data, enabling ML to generate personalized risk assessments for brain disorders. This transformative convergence of machine learning and artificial intelligence reshapes healthcare, particularly in the early detection and prediction of intricate diseases like brain disorders. The synergy between machine learning and artificial intelligence has ushered in a transformative era in healthcare, revolutionizing early detection and prediction of complex diseases like brain disorders. This confluence of technologies has given rise to the Online Service for Brain Disease Prediction (OSBDP), a groundbreaking platform leveraging the formidable power of machine learning. OSBDP redefines healthcare by providing accessible, personalized predictions for various brain-related conditions, marking a crucial step towards precision medicine.},
        keywords = {},
        month = {},
        }