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Unsupervised extraction, labelling and clustering of segments from clinical notes. (arXiv:2211.11799v1 [cs.CL])
Nov. 23, 2022, 2:16 a.m. | Petr Zelina, Jana Halámková, Vít Nováček
cs.CL updates on arXiv.org arxiv.org
This work is motivated by the scarcity of tools for accurate, unsupervised
information extraction from unstructured clinical notes in computationally
underrepresented languages, such as Czech. We introduce a stepping stone to a
broad array of downstream tasks such as summarisation or integration of
individual patient records, extraction of structured information for national
cancer registry reporting or building of semi-structured semantic patient
representations for computing patient embeddings. More specifically, we present
a method for unsupervised extraction of semantically-labelled textual segments
from …
More from arxiv.org / cs.CL updates on arXiv.org
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