Open AccessMachine Learning Algorithms for Detection of Parkinson’s Disease using Motor Symptoms: Speech and Tremor
Author(s) -
Neharika D Bala,
S Anusuya
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f7129.038620
Subject(s) - machine learning , communicable disease , artificial intelligence , computer science , parkinson's disease , disease , algorithm , medicine , public health , pathology
Generally, the diseases are classified into communicable and non-communicable. The communicable disease is that, which can be spread easily from humans to humans while non-communicable disease does not spread. In this paper, we discuss about Parkinson's disease and its analysis using machine learning algorithms. The analysis of data is done using supervised machine learning approach. This paper concentrates and briefs about various supervised learning algorithms and its analysis.