Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"

This project explores using machine learning methods for detection of Parkinson's disease using an individual's speech.

We try to measure Parkinson's Disease Progression by Noninvasive Speech Tests and use that data and data science approaches to analyse and predict score of the Parkinson's Disease Progression.

Deployed machine learning models & data science calculators at morris-lee.com using Python & Heroku.

Developing a machine learning model to accurately detect Parkinson's Disease from patient data.

This repo is for MTI830 - Data mining class followed in Summer 2020

Parkinsons-Disease-Detection This is a project which predicts whether a person have Parkinson's Disease or not