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.
No commits in the last 6 months.
Use this if you need a quick, preliminary screening tool to analyze patient voice samples for potential indicators of Parkinson's disease.
Not ideal if you require a definitive diagnosis or a comprehensive medical assessment, as this is a machine learning model, not a substitute for clinical judgment.
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13
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6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 16, 2022
Commits (30d)
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