PREACT-digital

This repository contains the codebase for the PREACT-digital project, associated with the paper:

Towards JITAI – Moment-to-moment Prediction of Negative Affect in Internalizing Disorders using Digital Phenotyping

Repository Structure

• model_pipeline/
  Contains all model definitions, training scripts, and evaluation code related to the predictive modeling of negative affect.

• src/
  Houses preprocessing functions and utilities required to transform raw data into a format suitable for model training and evaluation.

• relevant notebooks/

  • X1_Short_Term_Prediction.ipynb
    • Notebook for running the model pipeline and create plots. It utilizes modules in model_pipeline/ and processes the output from the preprocessing step.
  • 03_JITAI_Preprocess.ipynb
    • Notebook for executing data preprocessing steps, aligning EMA with passive data and aggregating them. It relies on functions from src/ to clean and prepare raw data.
  • 01_Data_Preprocess.ipynb
    • Notebook for basic data preprocessing, including concatenation of EMA and passive data with study monitoring data, and timestamp alignement.