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Datasets

Word vectors

  • Word2Vec
    • Put under data/raw/embeddings/
  • BioBERT
    • BERT embeddings trained on PubMed dataset

Experiments

  • Tune models: train/tune_models.py

    • Tunes dataset-model pairs using grid search
    • Saves results to Wandb
  • Generate model performance reports: train/run_reports.py

    • Loads the best dataset-model pair and related config file of a trained model from wandb
    • Generates and saves results figures

Citation

@article{ozyegen2022word,
  title={Word-level text highlighting of medical texts for telehealth services},
  author={Ozyegen, Ozan and Kabe, Devika and Cevik, Mucahit},
  journal={Artificial Intelligence in Medicine},
  pages={102284},
  year={2022},
  publisher={Elsevier}
}

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Code for "Word-level Text Highlighting of Medical Texts for Telehealth Services" paper

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