Prediction of intra-abdominal injury using natural language processing of electronic medical record data.

Journal: Surgery
PMID: 38972771

Abstract

BACKGROUND: This study aimed to use natural language processing to predict the presence of intra-abdominal injury using unstructured data from electronic medical records.

Authors

  • Giovanna Danna
    Chicago Medical School, Rosalind Franklin University, Chicago, IL.
  • Ravi Garg
    Center for Healthcare Studies, Northwestern University, Chicago, Illinois.
  • Joanna Buchheit
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Radha Patel
    Chicago Medical School, Rosalind Franklin University, Chicago, IL.
  • Tiannan Zhan
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Alexander Ellyn
    Chicago Medical School, Rosalind Franklin University, Chicago, IL.
  • Farhan Maqbool
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Linda Yala
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Yuriy Moklyak
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • James Frydman
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Abel Kho
    School of Medicine, Northwestern University, Chicago, IL, USA.
  • Nan Kong
    Weldon School of Biomedical Engineering, Purdue University, West Lafayette, USA.
  • Alona Furmanchuk
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Alexander Lundberg
    Feinberg School of Medicine, Northwestern University, Chicago, IL.
  • Anne M Stey
    Feinberg School of Medicine, Northwestern University, Chicago, IL. Electronic address: as013j@gmail.com.

Keywords

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