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Electronic medical records (EMRs) have been used extensively in most medical institutions for more than a decade in Taiwan. However, information overload associated with rapid accumulation of large amounts of clinical narratives has threatened the effective use of EMRs. This situation is further worsened by the use of "copying and pasting", leading to lots of redundant information in clinical notes. This study aimed to apply natural language processing techniques to address this problem. Newdoi:10.3390/app10082824 doaj:c2f168584f1143d8b092a88ab8996d1c fatcat:wajnwcio7bdfjknbpd75hazauy