Published October 25, 2023 | Version v1.1
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alessioluschi/HITBert: v1.1

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Description

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

Notes (English)

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]

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Additional details

Related works

Is published in
Journal article: 10.1016/j.heliyon.2023.e21723 (DOI)
Is supplement to
Software: https://github.com/alessioluschi/HITBert/tree/v1.1 (URL)