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"Word embeddings trained on published case reports are lightweight, ..."

Zachary N. Flamholz et al. (2022)

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DOI: 10.1016/J.JBI.2021.103971

access: closed

type: Journal Article

metadata version: 2022-04-09

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Zachary N. Flamholz, Andrew Crane-Droesch, Lyle H. Ungar, Gary E. Weissman:
Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information. J. Biomed. Informatics 125: 103971 (2022)

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