Natural language processing augments comorbidity documentation in neurosurgical inpatient admissions.

Journal: PloS one
PMID: 38723044

Abstract

OBJECTIVE: To establish whether or not a natural language processing technique could identify two common inpatient neurosurgical comorbidities using only text reports of inpatient head imaging.

Authors

  • Rahul A Sastry
    Department of Neurosurgery, Warren Alpert Medical School, Rhode Island Hospital, Brown University, Providence, RI, United States of America.
  • Aayush Setty
    Department of Neurosurgery, Warren Alpert Medical School, Rhode Island Hospital, Brown University, Providence, RI, United States of America.
  • David D Liu
    Department of Neurosurgery, Warren Alpert Medical School, Rhode Island Hospital, Brown University, Providence, RI, United States of America.
  • Bryan Zheng
    Department of Neurosurgery, Warren Alpert Medical School, Rhode Island Hospital, Brown University, Providence, RI, United States of America.
  • Rohaid Ali
    Departments of1Neurosurgery and.
  • Robert J Weil
    Department of Neurosurgery, Brain & Spine, Southcoast Health, Dartmouth, MA, United States of America.
  • G Dean Roye
    Department of Surgery, Warren Alpert Medical School, Rhode Island Hospital, Brown University, Providence, RI, United States of America.
  • Curtis E Doberstein
    Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA.
  • Adetokunbo A Oyelese
    Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence , Rhode Island , USA.
  • Tianyi Niu
    Department of Neurosurgery, Warren Alpert Medical School, Rhode Island Hospital, Brown University, Providence, RI, United States of America.
  • Ziya L Gokaslan
    Departments of1Neurosurgery and.
  • Albert E Telfeian
    Departments of1Neurosurgery and.

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