Parkinsons Disease cohort landscape visualization

An open source gait analysis system with a 3D imaging system

Source code of the paper "MARTA: a model for the automatic phonemic grouping of the parkinsonian speech"

Neurovoz corpus of parkinosnian speech

This R-based data science project on the UCI Parkinson's dataset employs machine learning (Decision tree, Random Forest, SVM, XGBoost) with a focus on hyperparameter tuning and feature selection. This repository showcases insights into Parkinson's disease prediction using effective data science practices.

Python script to lookup the direct children of the Parkinson Disease term in the MONDO ontology

Tools for mapping human motor circuits - with implications for Parkinson's Disease

Predictive Modeling of Neurological State with Multidimensional Time Series Data in Parkinson Disease Patients

A novel insight into neurological disorders through HDAC6 protein-protein interactions

A flask web application that integrates a machine learning model with the capability to make accurate predictions regarding the presence of Parkinson's disease in individuals based on the analysis of their voice recordings

KnowPark - Parkinson's Disease Detection System: Leverage AI algorithms, including Genetic Algorithm and heuristics, to predict the likelihood of Parkinson's disease from audio files, aiding in early diagnosis and improved patient care.

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

The Parkinson's Disease Detection project utilizes the Oxford Parkinson's Disease dataset with 197 instances and 23 real-valued attributes. Conducting classification tasks, the project employs machine learning models to discriminate between healthy individuals and those with Parkinson's disease.

Final project for Signal Processing course that focuses on Parkinson's Disease detection.

Scripts and results from an article on screening of Norwegian health registries in search for associations between drug usage and Parkinson's disease incidence.

2sagcnatt

Detect the onset of possible risk of Parkinson's disease with the help of clinical data using Machine Learning Models.

This repository contains scripts for differential expression analysis (DEA). From data handling to the DEA. This analysis were made to test DEG from PDD (Parkinson's Disease Dementia)

Logistic Regression in the Diagnosis of Parkinson's Disease

Federated Learning for multi-omics: a performance evaluation in Parkinson’s disease by Benjamin Danek, Mary B. Makarious, Anant Dadu, Dan Vitale, Paul Suhwan Lee, Mike A Nalls, Jimeng Sun, Faraz Faghri