GitHub topics: updrs-scale
Silversmithe/Unsupervised-PD-Assessment 📦
Our goal is to create a device that will utilize patient’s daily actions instead of choreographed actions to monitor and quantify Parkinson’s disease based on part of the motor control section of the UPDRS scale.
Language: C++ - Size: 32.4 MB - Last synced at: 28 days ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0
AtharvaKulkarniIT/ParkinsonsTelemonitoringInsights
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.
Language: R - Size: 1.24 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1
KaramiMostafa/MachineLearningInHealthcare
This repository focuses on two machine learning projects in the healthcare domain.
Language: Python - Size: 3.8 MB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0
Danfoa/parkinson-progression-prediction-with-speech-tests
Computer Intelligence subject final project at UPC.
Language: Python - Size: 37.7 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1
