This repository contains the source code related to the manuscript accepted to the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021):
@ARTICLE{,
AUTHOR = {Yan, Melissa Y. and Høvik, Lise Husby and Pedersen, André and Gustad, Lise Tuset and Nytrø, Øystein},
TITLE = {Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events},
YEAR = {2021}}
See here to download the exact version of the source code used in the publication (v1.0).
- Clone repo:
git clone https://github.com/andreped/adverse-events.git
- Create virtual environment, activate it, and install dependencies:
cd adverse-events/python
virtualenv -ppython3 venv
source venv/bin/activate
pip install -r /path/to/requirements.txt
-
Create the project structure as defined below:
-
Run scripts for training and evaluating different classifier models:
python3 main.py misc/default-params.ini
Different parameters relevant for the analysis, building of models, evaluation, plotting results, and similar, may be modified in the INI-file.
├── adverse-events
├── python
│ ├── multi-class
│ ├── topic-analysis
│ ├── utils
│ └── ...
├── data
│ ├── EQS_files
│ ├── file-with-all-notes.csv
│ └── file_with_annotated_notes.csv
└── output
├── history
├── models
└── figures
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