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Similarity-Based Unsupervised Spelling Correction Using BioWordVec: Development and Usability Study of Bacterial Culture and Antimicrobial Susceptibility Reports.

Taehyeong KimSung Won HanMinji KangSe Ha LeeJong-Ho KimHyung Joon JooJang Wook Sohn
Published in: JMIR medical informatics (2021)
This tool corrected spelling errors effectively in the absence of a dictionary based on bacterial identification words in bacterial culture and antimicrobial susceptibility reports. This method will help build a high-quality refined database of vast text data for electronic health records.
Keyphrases
  • electronic health record
  • adverse drug
  • clinical decision support
  • machine learning
  • healthcare
  • smoking cessation