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Med7: A Transferable Clinical Natural Language Processing Model For Electronic Health Records by Amrit Acharya is a document available to read on EtoBox.

What is Med7: A Transferable Clinical Natural Language Processing Model For Electronic Health Records about?

This paper introduces a clinical natural language processing model called Med7 for extracting medical entities from electronic health records. The model is first pre-trained on a large unlabelled dataset then fine-tuned for named entity recognition. It achieves high performance but does not generalize well to different domains without further fine-tuning. The paper demonstrates adapting the model to a new domain through additional fine-tuning to improve generalization.

Author

Amrit Acharya

Language

EN