Detection of Degree of Parkinsonism via the Spiral Test

Multiple Disease Prediction System

Detection of Parkinson’s Disease Using Vocal Features: An Eigen Approach 🤖🧠

In this project, I have created a Machine Learning model using XGBClassifier to Detect Parkinsons Disease with eXtreme Gradient Boosting (XGBoost).

Parkinson's disease detection based on voice signals using ML model.

Parkinson's Disease Detection Using Speech recordings based on Signal Processing and Machine Learning - MATLAB-

A comprehensive machine learning-based web app for predicting multiple diseases from medical data.

Parkinson Disease Detection using Machine Learning (SVM) + ML Model

A machine learning project which predicts the healthcare based on given certain features.

Analyzing the provided Parkinson's Disease voice sample dataset.

All projects of Internship

A Parkinson's Disease clinical decision support system (cdss) based on the Parkinson's Progression Markers Initiative (PPMI) data.

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.