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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text

Fig. 1

CERC system diagram. This shows the overall design of CERC. Input text is first preprocessed via segmentation, tokenization, stemming, and controlled dictionary filtering. Extractive summarization is performed using a new algorithm, the MINTS algorithm, a multi-stage algorithm for sentence extraction and ranking. A word-cloud based visualization method is used to represent term/concept distribution

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