Novoic's audio feature extraction library
A new accessible interface for your smartphone, suitable for seniors
A local-first Flutter research notebook for meals, medication context, and evidence-oriented explanations. Educational prototype with synthetic demos.
A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would help in genralizing the most common groups affected by this disease.
Multimodal Dataset of Freezing of Gait in Parkinson's Disease
Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Parkinson Disease Detection using Machine Learning
A Folding@Home Docker container with GPU support
A Python-based machine learning project for classifying Parkinson's disease using patient data and algorithms like XGBoost and Random Forest. Includes data preprocessing, feature analysis, and model evaluation with Scikit-learn and Pandas for accurate predictions.
Analysis of Parkinson's Progressive Markers Initiative Data
The NeuroDataSets package offers a rich and diverse collection of datasets focused on the brain, the nervous system, and neurological and psychiatric disorders. It includes data on conditions such as Parkinson’s disease, Alzheimer’s disease, epilepsy, schizophrenia, gliomas, and mental health
We propose LightCNN, a lightweight CNN architecture designed for efficient and effective Parkinson's disease classification using EEG data. Article: https://doi.org/10.48550/arXiv.2408.10457
Parkinson's disease data analysis from uci machine learning repository dataset.
Sorce code of Apkinson: android app to monitor the motor symptoms of Parkinson's patients
Digital Biomarkers for Parkinson's Disease Toolbox.
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
The neurodatasets package provides a curated collection of neuroscience and brain-related datasets for data analysis, statistical modeling, and machine learning research. It includes datasets related to biomedical voice recordings, MRI brain imaging, Alzheimer's and Parkinson's disease biomarkers, epilepsy seizures, ADHD symptoms
Unveiling the Tremors, A Reliable Algorithm with 83% Accuracy for Detecting Parkinson's Disease through Spiral/Wave Sketch Images.
MATLAB/R wrangling for the KiMoRe kinematic rehabilitation dataset (Capecci et al., 2019, IEEE TNSRE). Kinect motion capture for stroke and Parkinson's
To associate your repository with the parkinsons-disease topic, visit your repo's landing page and select "manage topics."