The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

Journal: International journal of medical informatics
Published Date: May 21, 2020

Abstract

BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care Units (ICUs), and timely diagnosis is crucial for treatment outcomes. The progression of electronic medical records (EMR) offers the possibility of storing a large quantity of clinical data that can facilitate the development of artificial intelligence (AI) in medicine. However, several difficulties, such as poor structure and heterogenicity of the raw EMR data, are encountered when introducing AI with ICU data. Labor-intensive work, including manual data entry, personal medical records sorting, and laboratory results interpretation may hinder the progress of AI. In this article, we introduce the developing of an AI algorithm designed for sepsis diagnosis using pre-selected features; and compare the performance of the AI algorithm with SOFA score based diagnostic method.

Authors

  • Kuo-Ching Yuan
    Department of Emergency and Critical Care Medicine, Taipei Medical University Hospital, Taipei, Taiwan. Electronic address: traumayuan@gmail.com.
  • Lung-Wen Tsai
    Department of Medicine Education, Taipei Medical University Hospital, Taipei, Taiwan.
  • Ko-Han Lee
    Taiwan AI Labs, Taipei, Taiwan.
  • Yi-Wei Cheng
    Taiwan AI Labs, Taipei, Taiwan.
  • Shou-Chieh Hsu
    Taiwan AI Labs, Taipei, Taiwan.
  • Yu-Sheng Lo
    Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
  • Ray-Jade Chen
    Division of General Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei, Taiwan; Department of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

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