Understanding Medical Named Entity Extraction in Clinical Notes
نویسندگان
چکیده
Clinical notes contain extensive knowledge about patient medical procedures, medications, symptoms etc. In this paper we present an integrated approach to processing textual information contained in the clinical notes. We extract three major medical entities namely symptoms, medication and generic medical entities from patient discharge summaries and doctors notes from the I2B2 dataset. Quick access to structured information of these entities may help medical professionals in providing better and cost-effective care.
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تاریخ انتشار 2015