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https://github.com/riborings/alzheimerprediction
https://github.com/riborings/alzheimerprediction
Last synced: 7 days ago
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- Host: GitHub
- URL: https://github.com/riborings/alzheimerprediction
- Owner: RiboRings
- Created: 2023-12-08T13:26:21.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-03-03T20:10:41.000Z (8 months ago)
- Last Synced: 2024-03-03T21:25:11.765Z (8 months ago)
- Language: Jupyter Notebook
- Size: 18.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AlzheimerPrediction
The primary objective of our project was to predict binary-coded CDR scores in both cross-sectional and longitudinal contexts. Initially, we conducted a joint analysis of OASIS-I and OASIS-II, binarised CDR, and preprocessed input features. Subsequently, we selected and optimised a logistic regression classifier for cross-sectional prediction, achieving balanced accuracies of 80.7% and 78.6% with and without MMSE as a feature, respectively. Finally, we designed and trained an LSTM model that predicted the CDR outcome longitudinally with a balanced accuracy of 80%.