When using this model, the provided Python code, or the dataset for any other projects, please cite the original work: Luschi, A., Nesi, P., Iadanza, E. "Evidence-based Clinical Engineering: Health Information Technology Adverse Events Identification and Classification with Natural Language Processing", Heliyon, Vol. 9(11), 2023 [DOI: 10.1016/j.heliyon.2023.e21723]

A fine-tuned BERT-based NLP model for classyfing HIT-related adverse events reports.

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