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Generating high-quality data abstractions from scanned clinical records: text-mining-assisted extraction of endometrial carcinoma pathology features as proof of principle.

Anthony NguyenJohn O'DwyerThanh VuPenelope M WebbSharon E JohnattyAmanda B Spurdle
Published in: BMJ open (2020)
Keyword trigger-based automation with OCR error correction and negation handling proved not only to be rapid and convenient, but also providing consistent and reliable data abstractions from scanned clinical records. In conjunction with manual review, it can assist in the generation of high-quality data abstractions for medical research studies.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • data analysis
  • smoking cessation
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