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Depression_Analysis

An Analysis on Depression using Actigraphy data. Conducted as the Digital Health and Human Behavior course project at Aalto University.

Data

The dataset used in this study is obtained from The Depression Dataset on Kaggle. For more detailed description refer to my Report.pdf.

Repository Structure

The notebooks inside /notebooks include:

  • preprocessing.ipynb: which includes code for the preprocessing step and plotting various aspects of the data.
  • analysis.ipynb: which contains code for feature selection, decision tree classification, k-means clustering, and t-SNE visualization.

Finally, the Report file contains my analysis report including a comprehensive literature review, methodology, and the results.

How to run

  1. Obtain the data from the link above.
  2. You can set up a virtual environment and install the usual requirements using the following command (No unusual package installation is required):
  3. Run a jupyterlab server and simply run the cells in order.
pip install -r requirements.txt