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Extracting body function information using rule-based methods: Highlighting structure and formatting challenges in clinical text.


ABSTRACT: This paper describes the identification of body function (BF) mentions within the clinical text within a large, national, heterogeneous corpus to highlight structural challenges presented by the clinical text. BF in clinical documents provides information on dysfunction or impairments in the function or structure of organ systems or organs. BF mentions are embedded in highly formatted structures where the formats include implied scoping boundaries that confound existing natural language processing segmentation and document decomposition techniques. This paper describes follow-up work to adapt a rule-based system created using National Institutes of Health records to a larger, more challenging corpus of Social Security Administration data. Results of these systems provide a baseline for future work to improve document decomposition techniques.

SUBMITTER: Divita G 

PROVIDER: S-EPMC9485548 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Extracting body function information using rule-based methods: Highlighting structure and formatting challenges in clinical text.

Divita Guy G   Coale Kathleen K   Maldonado Jonathan Camacho JC   Silva Rafael Jiménez RJ   Rasch Elizabeth E  

Frontiers in digital health 20220906


This paper describes the identification of body function (BF) mentions within the clinical text within a large, national, heterogeneous corpus to highlight structural challenges presented by the clinical text. BF in clinical documents provides information on dysfunction or impairments in the function or structure of organ systems or organs. BF mentions are embedded in highly formatted structures where the formats include implied scoping boundaries that confound existing natural language processi  ...[more]

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