https://github.com/collumbus/pks_ml

Machine learning techniques to classify Parkinson's disease in the first four levels of the H-Y scale.
https://github.com/collumbus/pks_ml

Last synced: 8 months ago
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Machine learning techniques to classify Parkinson's disease in the first four levels of the H-Y scale.

• Host: GitHub
• URL: https://github.com/collumbus/pks_ml
• Owner: Collumbus
• Created: 2018-08-24T12:15:38.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-10-04T18:51:33.000Z (over 7 years ago)
• Last Synced: 2024-12-27T12:27:55.718Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 19 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Machine learning techniques to classify Parkinson's disease in the first four levels of the H-Y scale.

### Random Forest - Confusion Matrix:



### Random Forest - ROC Curve:



## Performance Metrics:



Sensitivity 60.19% 

Specificity 86.86% 

Precision 60.24% 

Accuray 80.12% 



# Classification of a level 3 sample:











## Probability of levels: