Published January 1, 2016
| Version v1
Journal article
Open
Using automatically extracted information from mammography reports for decision-support
Creators
- 1. Akdeniz Univ, Fac Med, Dept Biostat & Med Informat, Antalya, Turkey
- 2. Stanford Univ, Dept Radiol & Med Biomed Informat Res, Richard M Lucas Ctr, 1201 Welch Rd,Off P285, Stanford, CA 94305 USA
- 3. Univ Wisconsin, Dept Radiol, Madison, WI 53706 USA
Description
Objective: To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision support about breast cancer diagnosis. The ultimate goal of this system is to provide decision support as part of the workflow of producing the radiology report.
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