Diagnosis of Parkinson’s Diseases Using Classification Based on Voice Recordings

Abstract

Machine learning techniques prove to be very efficient when it comes to classifying things. Currently, most of the health practices rely on the opinions of the clinicians for making the correct diagnosis. This makes it difficult for people who cannot afford to go to the specialist due to the shortage of funds and also there are many cases where the disease goes undetected for a long period of time and thus leading to a very low survival rate for the patient. Many advances in technology have been made in order to reduce the errors in diagnosis and thus, reaching a better conclusion faster. This paper aims at bringing those developments to the light. This all is done in hope of getting a fair idea of the present situation and thus forming a better plan of how we should all work toward achieving better results. Also, a proposal is made, comparisons of which can be done with the existing algorithms in order to make a contribution in the field of diagnosis of diseases.