E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes.

Abstract

Authors

• Kimon L H Ioannides
  Department of Emergency Medicine, University of California, San Francisco-Fresno Medical Education Program, Fresno, CA, United States of America.
• Pin-Chieh Wang
  Department of Radiation Oncology, University of California Los Angeles, Los Angeles, California.
• Kamran Kowsari
  Systems and Information Engineering, University of Virginia, Charlottesville, VA.
• Vu Vu
  Office of Health Informatics and Analytics, UCLA Health, University of California, Los Angeles, CA, United States of America.
• Noah Kojima
  Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, United States of America.
• Dayna Clayton
  Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, United States of America.
• Charles Liu
  Stanford Institute for Immunity, Transplantation and Infection (ITI), Stanford University, Stanford, CA, 94305, USA.
• Tarak K Trivedi
  Department of Emergency Medicine, University of California, Los Angeles, CA, United States of America.
• David L Schriger
  Department of Emergency Medicine, University of California, Los Angeles, CA, United States of America.
• Joann G Elmore
  Department of Medicine, University of Washington School of Medicine, Seattle.

Keywords

External Resources