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Updated: Jun 28, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Parsing error correction of medical phrases for semantic annotation of clinical radiology reports
Naoki Nishimoto1, Satoshi Terae, Masahito Uesugi
1Department of Medical Informatics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Abstract:
The purpose of this study is to develop a module for correcting errors in the product of a natural language parser. When tested with 300 CT reports, a total of 604 patterns were generated. The recall and precision was improved to 90.7% and 74.1% after processed by the module from initial 80.5% and 42.8% respectively. This rule-based module will help health care personnel reduce the cost of manual tagging correction for corpus building.
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