Detection of Degree of Parkinsonism via the Spiral Test

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

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

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

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

All projects of Internship

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

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

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

Analyzing the provided Parkinson's Disease voice sample dataset.

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.

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

Multiple Disease Prediction System