Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A development and external validation study in the emergency department.

Abstract

Authors

• Dong Hyun Choi
  Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, Seoul, Republic of Korea; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.
• Sae Won Choi
  Department of Emergency Medicine, Seoul National University College of Medicine; Office of Hospital Information, Seoul National University Hospital. Electronic address: saewonchoi@gmail.com.
• Ki Hong Kim
  Laboratory of Emergency Medical Services, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea; Department of Emergency Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
• Yeongho Choi
  Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, Seoul, Republic of Korea; Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Disaster Medicine Research Center, Seoul National University Medical Research Center, Seoul, Republic of Korea.
• Yoonjic Kim
  Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, Seoul, Republic of Korea; Department of Emergency Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.

Keywords

External Resources