PARKINSON DISEASE PREDICTION USING MACHINE LEARNING AND SPIRAL TEST

One such implementation of machine learning algorithms is in the field of healthcare. Medical facilities need to be advanced so that better decisions for patient diagnosis and treatment options can be made. Instead of diagnosis, when a disease prediction is implemented using certain machine learning predictive algorithms then healthcare can be made smart and effective. Some cases can occur when early diagnosis of a disease is not within reach. Hence disease prediction can be effectively implemented. Our proposed system mainly focus on the development of a system where patients can feed symptoms into this tool as a input, which will be process and go through the machine learning module and then predict the possible disease to the patient. Finally, a doctor will be suggested by the system to cure the predicted disease of the patient. This dataset would then be analyzed using different machine learning algorithms to deliver results with maximum accuracy