April 8, 2022, 1:11 a.m. | Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar

cs.CL updates on arXiv.org arxiv.org

Applying methods in natural language processing on electronic health records
(EHR) data is a growing field. Existing corpus and annotation focus on modeling
textual features and relation prediction. However, there is a paucity of
annotated corpus built to model clinical diagnostic thinking, a process
involving text understanding, domain knowledge abstraction and reasoning. This
work introduces a hierarchical annotation schema with three stages to address
clinical text understanding, clinical reasoning, and summarization. We created
an annotated corpus based on an extensive …

annotation arxiv building hierarchical language natural natural language natural language processing processing progress

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