[PDF][PDF] Extracting Body Function from Clinical Text.

G Divita, J Lo, C Zhou, K Coale, E Rasch - AI4Function@ IJCAI, 2021 - academia.edu
G Divita, J Lo, C Zhou, K Coale, E Rasch
AI4Function@ IJCAI, 2021academia.edu
This paper describes finding Body Function (BF) mentions within clinical text. Body Function
is noted in clinical documents to provide information on potential pathologies within
underlying body systems or structures. BF mentions are embedded in highly formatted
structures where the formats include implied scoping boundaries that confound existing NLP
segmentation and document decomposition techniques. We have created two extraction
systems: a dictionary lookup rule-based version, and a conditional random field (CRF) …
Abstract
This paper describes finding Body Function (BF) mentions within clinical text. Body Function is noted in clinical documents to provide information on potential pathologies within underlying body systems or structures. BF mentions are embedded in highly formatted structures where the formats include implied scoping boundaries that confound existing NLP segmentation and document decomposition techniques. We have created two extraction systems: a dictionary lookup rule-based version, and a conditional random field (CRF) approach based on training from manual annotations. Training and test data utilized the NIH Clinical Center Rehabilitation Medicine Department records. Results of these systems provide a baseline for future work to improve document decomposition techniques.
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