Parkinson-Disease-Detection and parkinsons-diesease-detection
These are competitors—both are standalone ML projects that independently build Parkinson's disease detection models from patient data, with no technical dependency or integration between them.
About Parkinson-Disease-Detection
guptaharshnavin/Parkinson-Disease-Detection
Parkinson Disease Detection using Machine Learning
This project helps medical researchers and healthcare professionals screen individuals for Parkinson's Disease. It takes voice measurements and other clinical data as input and provides a prediction of whether a person might have Parkinson's. This tool is useful for researchers exploring diagnostic methods and healthcare providers looking for supplementary screening insights.
About parkinsons-diesease-detection
ajaykrsna/parkinsons-diesease-detection
Machine learning program that detects Parkinson's disease from patients voice using Support Vector Machine classifier.
This program helps medical professionals and researchers detect Parkinson's disease early by analyzing voice recordings. It takes a patient's voice data as input and provides a detection outcome, assisting in quicker diagnosis and monitoring of the disease. The primary users are clinicians, neurologists, and medical researchers.
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