Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

Journal: Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition
Published Date:

Abstract

BACKGROUND: This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality prediction.

Authors

  • Dong Jin Park
    Department of Laboratory Medicine, College of Medicine, Ewha Womans University of Korea, Seoul, South Korea.
  • Seung Min Baik
    Division of Critical Care Medicine, Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
  • Hanyoung Lee
    Department of Surgery, Division of Acute Care Surgery, Korea University Anam Hospital, Seoul, Korea.
  • Hoonsung Park
    Department of Surgery, Division of Acute Care Surgery, Korea University Anam Hospital, Seoul, Korea.
  • Jae-Myeong Lee
    Department of Surgery, Division of Acute Care Surgery, Korea University Anam Hospital, Seoul, Korea.