Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.

Amber Stubbs,Christopher Kotfila,Ozlem Uzuner

Journal of Biomedical Informatics（2015）

引用 221|浏览101

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摘要

•First de-identification shared task on clinical narratives.•10 teams participated, submitting 22 system output.•Top-performing system achieved micro-averaged F1 measure of .936 using strictest evaluation metric.

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关键词

Natural language processing,Machine learning,Shared task,Medical records

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