Published Research, ICSSAS 2024
The International Conference on Self Sustainable Artificial Intelligence Systems focuses on the integration of AI technologies. The conference is IEEE sponsored.
Achieved a remarkable 94.87% accuracy in detecting Parkinson's disease using cutting-edge machine learning techniques, surpassing conventional diagnostic methods and setting a new standard in medical research.
Pioneered a groundbreaking approach that significantly enhances the capability of telemedicine, allowing for earlier detection and more accurate diagnosis of Parkinson's disease, ultimately improving patient outcomes and quality of life.
Conducted extensive research that integrates advanced algorithms and large datasets, demonstrating a profound understanding of both machine learning and its practical applications in the healthcare sector.
Earned recognition for this innovative work with publication at the prestigious IEEE Xplore-sponsored conference, ICSSAS 2024.
Contributed to the global conversation on Parkinson's disease by providing a scalable, cost-effective solution that has the potential to revolutionize diagnostic practices and expand access to care for millions worldwide.