Abstract:BACKGROUND
Although electronic health records (EHR) have been widely adopted in healthcare, effective use of EHR data is often limited due to redundant information in clinical notes introduced by use of templates and copy-paste during note generation. Thus, it is imperative to develop solutions that can condense information while retaining its value. A step in this direction is measuring the semantic similarity between clinical text snippets. To address this problem, we participated in … Show more
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