PCA applied to Parkinson's Disease Classification Dataset

24787 AI ML for Engineers Course Project

FastEval Parkinsonism is a AI-based online solution for self-assessing parkinsonism in real time.

This project was used for participating in the Subchallenges 2.1-2.3 of the Parkinson's disease digital biomarker DREAM challenge

My Ph.D. thesis finished and defended at the Brno University of Technology (2018). The package contains all necessary files such as bibtex, template, texts, figures, and all other files according to http://latex.feec.vutbr.cz

Training an LSTM NN to predict Parkinson's disease progression from peptide concentrations

You, me, and Parkinson's Disease

A cross-platform mobile app in C# (Xamarin in Visual Studio) to help in the early detection of Parkinson's Disease using biomarkers that can be picked up by cellphone sensors.

To detect Parkinson's disease using LightGBM algorithm in Machine Learning

Aplicación Android utilizada para recoger datos de los sensores.

GENEPARK is a large study that aimed for finding blood-based biomarkers Parkinson's disease. Here we provide the R code for reproducing the main results of the project.

What is Parkinson’s Disease? Parkinson’s disease is a progressive disorder of the central nervous system affecting movement and inducing tremors and stiffness. It has 5 stages to it and affects more than 1 million individuals every year in India. This is chronic and has no cure yet. It is a neurodegenerative disorder affecting dopamine-producing…

Asymmetry at Disease Onset Is Not a Predictor of Parkinson’s Disease Progression

Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors

This repo contains tasks i done as part of CodeClause data science internship.

This repository contains the code I developed for my master thesis project: Neurodegeneration identification in Parkinson's Disease with DL and qMRI maps

Health related machine learning projects