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MRI-Alzheimers is a classification project heavily relying on Tensorflow to predict Alzheimer's disease based on data from 500+ visual MRI scans collected by HHMI.

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.ipynb_checkpoints

.ipynb_checkpoints

 
 

.DS_Store

.DS_Store

 
 

Longitudinal PCA.ipynb

Longitudinal PCA.ipynb

 
 

README.md

README.md

 
 

[Phase 0] General Overview and Analysis.ipynb

[Phase 0] General Overview and Analysis.ipynb

 
 

[Phase 1] Cleaning Data and Looking for Trends.ipynb

[Phase 1] Cleaning Data and Looking for Trends.ipynb

 
 

[Phase 2] Test-Hypothesis.ipynb

[Phase 2] Test-Hypothesis.ipynb

 
 

[Phase 3]-Visualizations.ipynb

[Phase 3]-Visualizations.ipynb

 
 

[Phase 4] -Classification-on-Nearest-Neighbor-(Euclidean-Distance) .ipynb

[Phase 4] -Classification-on-Nearest-Neighbor-(Euclidean-Distance) .ipynb

 
 

[Phase 5] Classification.ipynb

[Phase 5] Classification.ipynb

 
 

[Phase 6] Evaluation.ipynb

[Phase 6] Evaluation.ipynb

 
 

[Phase 7] Conclusions.ipynb

[Phase 7] Conclusions.ipynb

 
 

oasis_cross-sectional.csv

oasis_cross-sectional.csv

 
 

oasis_longitudinal.csv

oasis_longitudinal.csv

 
 

phase5predictor.ipynb

phase5predictor.ipynb

 
 

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MRIAlzheimers

With a medical record dataset found on kaggle, we created a classification model using neural networks and other ML techniques that would predict which patients are likely to have dementia or other neurodegenerative diseases. Implemented using Python and TensorFlow.

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MRI-Alzheimers is a classification project heavily relying on Tensorflow to predict Alzheimer's disease based on data from 500+ visual MRI scans collected by HHMI.

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