[Predicting prolonged length of intensive care unit stay machine learning].

Journal: Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Published Date: Dec 18, 2021

Abstract

OBJECTIVE: To construct length of intensive care unit (ICU) stay (LOS-ICU) prediction models for ICU patients, based on three machine learning models support vector machine (SVM), classification and regression tree (CART), and random forest (RF), and to compare the prediction perfor-mance of the three machine learning models with the customized simplified acute physiology score Ⅱ(SAPS-Ⅱ) model.

Authors

  • J Y Wu
    Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
  • Y Lin
  • K Lin
    Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China; Medical Informatics Center, Peking University, Beijing 100191, China.
  • Y H Hu
    Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China; Medical Informatics Center, Peking University, Beijing 100191, China.
  • G L Kong
    Medical Informatics Center, Peking University, Beijing 100191, China.

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