This is for the TADPOLE (The Alzheimer's Disease Prediction Of Longitudinal Evolution) project, using past clinical test measurements to predict future clinical test data and diagnosis.
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Run Baseline.ipynb first, this is the baseline model which is the move-forward method. Using the last availabel clinical test as the data for future predictions
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Run data_cleaning.ipynb and Models.ipynb, which is to do data cleaning and run models such as SVM, NN etc.
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Run LSTM_Data_Preprocessing.ipynb and Dynamic_LSTM_train.ipynb to preprocess data for LSTM model and run the model