Interpretable machine learning models for predicting the incidence of antibiotic- associated diarrhea in elderly ICU patients.

Journal: BMC geriatrics
Published Date: May 24, 2024

Abstract

BACKGROUND: Antibiotic-associated diarrhea (AAD) can prolong hospitalization, increase medical costs, and even lead to higher mortality rates. Therefore, it is essential to predict the incidence of AAD in elderly intensive care unit(ICU) patients. The objective of this study was to create a prediction model that is both interpretable and generalizable for predicting the incidence of AAD in elderly ICU patients.

Authors

  • Yating Cui
    Department of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Yibo Zhou
    School of Electrical Engineering, Northeast Electric Power University, Jilin, China.
  • Chao Liu
    Anti-Drug Technology Center of Guangdong Province, National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou 510230, China.
  • Zhi Mao
    Xi'an Technological University, Xi'an, China.
  • Feihu Zhou
    Department of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.

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