Real-time interactive artificial intelligence of things-based prediction for adverse outcomes in adult patients with pneumonia in the emergency department.

Journal: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
Published Date: Jul 29, 2021

Abstract

BACKGROUND: Artificial intelligence of things (AIoT) may be a solution for predicting adverse outcomes in emergency department (ED) patients with pneumonia; however, this issue remains unclear. Therefore, we conducted this study to clarify it.

Authors

  • You-Ming Chen
    Department of Emergency Medicine, Chi Mei Medical Center, Tainan, Taiwan.
  • Yuan Kao
    Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Chien-Chin Hsu
    Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Chia-Jung Chen
    Information Systems, Chi Mei Medical Center, Tainan, Taiwan.
  • Yu-shan Ma
  • Yu-Ting Shen
    Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clnical Research Center of Interventional Medicine, Shanghai, 200072, PR China.
  • Tzu-Lan Liu
    Information Systems, Chi Mei Medical Center, Tainan, Taiwan.
  • Shu-Lien Hsu
    Department of Nursing, Chi Mei Medical Center, Tainan, Taiwan.
  • Hung-Jung Lin
    Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Jhi-Joung Wang
    Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.
  • Chien-Cheng Huang
    Department of Emergency Medicine, Chi Mei Medical Center, Tainan, Taiwan.
  • Chung-Feng Liu
    Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.

Keywords

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