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Updated: Jun 4, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes
Suchi Saria1, Gayle McElvain, Anand K Rajani
1Computer Science Department.
Abstract:
Integrating easy-to-extract structured information such as medication and treatments into current natural language processing based systems can significantly boost coding performance; in this paper, we present a system that rigorously attempts to validate this intuitive idea. Based on recent i2b2 challenge winners, we derive a strong language model baseline that extracts patient outcomes from discharge summaries. Upon incorporating additional clinical cues into this language model, we see a significant boost in performance to F1 of 88.3 and a corresponding reduction in error of 23.52%.
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