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Automated extraction and normalization of findings from cancer-related free-text radiology reports
- Source :
- AMIA ... Annual Symposium proceedings. AMIA Symposium.
- Publication Year :
- 2004
-
Abstract
- We describe the performance of a particular natural language processing system that uses knowledge vectors to extract findings from radiology reports. LifeCode® (A-Life Medical, Inc.) has been successfully coding reports for billing purposes for several years. In this study, we describe the use of LifeCode® to code all findings within a set of 500 cancer-related radiology reports against a test set in which all findings were manually tagged. The system was trained with 1400 reports prior to running the test set. Results: LifeCode® had a recall of 84.5% and precision of 95.7% in the coding of cancer-related radiology report findings. Conclusion: Despite the use of a modest sized training set and minimal training iterations, when applied to cancer-related reports the system achieved recall and precision measures comparable to other reputable natural language processors in this domain.
Details
- ISSN :
- 1942597X
- Database :
- OpenAIRE
- Journal :
- AMIA ... Annual Symposium proceedings. AMIA Symposium
- Accession number :
- edsair.pmid..........83346316f06a67ffb2202f5f6c39a639