Detection of Degree of Parkinsonism via the Spiral Test
Computer Intelligence subject final project at UPC.
The project strives to predict the risk of Parkinson's Disease progression in the patient based on the evaluation of baseline motor and non-motor symptoms of the patients via machine learning approach.
Uso de biomarcadores extraídos de la voz para la detección de la enfermedad del Parkinson
Parkinson's diagnosis and prescreen application for Android
The code repository for "Parkinson’s severity diagnosis explainable model based on 3D multi-head attention residual network"
🏆 HackWestern 1st Place (Data Visualization) - 🏥 Developed a Human Machine Interface though position tracking to accurately diagnose degenerative disorders such as Parkinson's. Built using Leap Motion hardware integrated with FFT ML algorithm with Python and displayed with Javascript and Angular 7.
Discovering biomechanical phenotypes in Parkinson’s disease using GANs and explainable AI
This repository contains python code which relates to this paper: Hyperbolic Embedding and Acoustic-based Learning for Topological Hierarchies in Parkinson’s Disease
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