Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes

Suchi Saria; Gayle McElvain; Anand K. Rajani; Anna A. Penn; Daphne L. Koller

Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes

Suchi Saria, Gayle McElvain, Anand K. Rajani, Anna A. Penn, Daphne L. Koller

Research output: Contribution to journal › Article › peer-review

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%.

Original language	English (US)
Pages (from-to)	712-716
Number of pages	5
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume	2010
State	Published - 2010
Externally published	Yes

ASJC Scopus subject areas

General Medicine

Cite this

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Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes

Abstract

ASJC Scopus subject areas

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