Android app that tracks tremors and recommends follow up action

A sample for hotel management android project

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

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

This project is for html & css practice. We made this for youtube tutorial purpose.

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.

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

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

Computer Intelligence subject final project at UPC.

Code for predicting clinical scores of parkinsonism (UPDRS-gait/SAS-gait) from skeleton trajectory data.

Building linear Regression model to predict MOTOR_UPDRS and TOTAL_UPDRS score for parkinson's disease.

A regression application which calculates the motor UPDRS score of a Parkinson person.

ReTap is an open-source tool to generate automated UPDRS finger-tapping predictions based on index-finger accelerometer data

In this repository, we will be addressed a regression problem that will allow us to predict the value of two outputs within the UPDRS scale. This problem is related to Parkinson's disease. The lang…

An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment

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.

This project was used for participating in the MPower Subchallenge of the Parkinson's disease digital biomarker DREAM challenge

Parkinson's disease data analysis from uci machine learning repository dataset.

Novoic's audio feature extraction library

CSC522: Automated Learning & Data Analysis - Project

📜 Official implementation of the paper "Bag of Samplings for Parkinson's Disease Diagnosis based on Recurrent Neural Networks"