1. Large-scale evaluation of automated clinical note de-identification and its impact on information extraction.

    Large-scale evaluation of automated clinical note de-identification and its impact on information extraction. J Am Med Inform Assoc. 2012 Aug 2; Authors: Deleger L, Molnar K, Savova G, Xia F, Lingren T, Li Q, Marsolo K, Jegga A, Kaiser M, Stoutenborough L, Solti I Abstract OBJECTIVE: (1) To evaluate a state-of-the-art natural language processing (NLP)-based approach to automatically de-identify a large set of diverse clinical notes. (2) To measure the impact of de-identification on the performance of information extraction algorithms on the de-identified documents. MATERIAL AND METHODS: A cross-sectional study that included 3503 stratified, randomly selected clinical notes (over ...
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