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• W2123283502 abstract "Much epidemiologic information resides in literature, which is not in a computable format. To extract information and build knowledge bases of epidemiologic studies, we developed a system to extract noun phrases about epidemiologic exposures and outcomes. The system consists of two components: Four ML algorithms were applied and compared over different feature sets. To evaluate the performance of the system, we manually constructed an annotated dataset. The system achieved the highest F-measure of 82.0% for extracting exposure terms, and 70% for extracting outcome terms." @default.
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• W2123283502 date "2012-01-01" @default.
• W2123283502 modified "2023-10-18" @default.
• W2123283502 title "Extracting epidemiologic exposure and outcome terms from literature using machine learning approaches" @default.
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• W2123283502 doi "https://doi.org/10.1504/ijdmb.2012.049284" @default.
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