Reproduction of 'Application of deep and machine learning techniques for multi-label classification performance on psychotic disorder diseases' Elujide, Israel et al for Georgia Tech CSE 6250: Big Data for Healthcare Analytics
All Packages:
- numpy
- pandas
- matplotlib
- seaborn
- scikit-learn
- imblearn
- tensorflow
All packages should be standard with Google Colab
Dataset: https://ars.els-cdn.com/content/image/1-s2.0-S2352340917303487-mmc2.csv
Naming convention for file location in the notebook: '/content/drive/MyDrive/CSE6250/1-s2.0-S2352340917303487-mmc2.csv'
File Name: '1-s2.0-S2352340917303487-mmc2.csv'
Running The Program:
If the code is run on Google Colab and the file is stored as above then run all cells should run all experiments. If the file is run outside of google colab the dependencies mentioned above should be downloaded and the file location should be changed to your local directory