Machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS.

Journal: Scientific reports
Published Date: Nov 15, 2024

Abstract

OBJECTIVE: The objective was to establish a machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS.

Authors

  • Jinfeng Lin
    Department of Emergency Medicine, Jinling Clinical Medical College of Nanjing Medical University, Nanjing, 210016, Jiangsu, China.
  • Chunfeng Gu
    Ctrip Infrastructure Service, Trip.com Group Ltd, Shanghai, 200335, China.
  • Zhaorui Sun
    Department of Emergency Medicine, Jinling Clinical Medical College of Nanjing Medical University, Nanjing, 210016, Jiangsu, China.
  • Suyan Zhang
    Critical Care Medicine, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, 226000, Jiangsu, China. ntsyzsy@163.com.
  • Shinan Nie
    Department of Emergency Medicine, Jinling Clinical Medical College of Nanjing Medical University, Nanjing, 210016, Jiangsu, China. shn_nie@sina.com.

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