Prediction of 30-day mortality for ICU patients with Sepsis-3.

Journal: BMC medical informatics and decision making
Published Date: Aug 8, 2024

Abstract

BACKGROUND: There is a growing demand for advanced methods to improve the understanding and prediction of illnesses. This study focuses on Sepsis, a critical response to infection, aiming to enhance early detection and mortality prediction for Sepsis-3 patients to improve hospital resource allocation.

Authors

  • Zhijiang Yu
    Department of Industrial and Systems Engineering, University of Southern California (USC), 3650 McClintock Ave, Los Angeles, CA, 90089, United States of America.
  • Negin Ashrafi
    Department of Industrial and Systems Engineering, University of Southern California (USC), Los Angeles, CA, United States of America.
  • Hexin Li
    State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China.
  • Kamiar Alaei
    Department of Health Science, California State University, Long Beach, 1250 Bellflower Blvd. HHS2-117, Long Beach, CA, 90840, USA.
  • Maryam Pishgar
    Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60609, USA.

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