Repository for Jupyter Notebooks and Python scripts that implement time series analysis for BIDMC Digital Psychiatry Studies.
| Paper Title | Relevant File Names | Description |
|---|---|---|
| Predicting PANSS and SFS Scores with LSTM Models: An Exploratory Time Series Analysis of Digital Phenotyping Data in Schizophrenia | LSTM_RNN_PANSS_SFS_Score_Prediction.ipynb | This Jupyter notebook loads in forward filled data from the SHARP dataset containing active, passive, and structured survey data. It preprocesses the data for time series analysis, creates RNN and LSTM models, trains the models on a training subset of the data, and evaluates performance using KFold cross-validation on a test subset of data. |