This repository contains the data and source code used in our research titled "Exploring the Current State of Knowledge on the Link Between COVID-19 and Neurodegeneration using Natural language Processing and Knowledge Graphs".
covid-NDD-comorbidity-NLP/
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├── README.md # Project overview and instructions
├── LICENSE # License information
├── requirements.txt # Python dependencies
├── src/ # Core source code for the project
│ ├── data_processing/ # Scripts for data extraction and preprocessing
│ ├── model/ # Model training and inference scripts
│ ├── utils/ # Utility functions and helper scripts
│ └── main.py # Main script to run the project
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├── data/ # Data directory
│ ├── raw/ # Raw data (images and publication figures)
│ ├── processed/ # Processed data ready for modeling
│ └── samples/ # Sample images for testing
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├── output/ # Output directory
│ ├── results/ # Extracted entities and triples
│ └── logs/ # Logs from model runs and other processes
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├── notebooks/ # Jupyter notebooks for experiments and analysis
│ ├── exploration.ipynb # Data exploration and initial analysis
│ ├── model_training.ipynb # Model training and evaluation
│ └── results_analysis.ipynb # Analysis of model results
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├── scripts/ # Standalone scripts for specific tasks
│ ├── download_data.py # Script to download data from sources
│ └── preprocess_images.py # Script to preprocess images
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└── tests/ # Unit and integration tests
├── test_data_processing.py # Tests for data processing functions
└── test_model.py # Tests for model functions
For any questions, suggestions, or collaborations, please contact:
- Negin Babaiha
negin.babaiha@scai.fraunhofer.de
Google Scholar Profile
Feel free to reach out for any questions or discussions regarding the project.