Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model

• Shuaihua Fan,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Software, Writing – original draft, Writing – review & editing

  Affiliations School of Clinical Medicine, Tsinghua University, Beijing, China, Department of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital Affiliated to Tsinghua University, Beijing, China

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• Jinlan Lin,

  Roles Data curation, Investigation, Visualization, Writing – review & editing

  Affiliation Department of Disease Control and Nosocomial Infection Control, Beijing Tsinghua Changgung Hospital Affiliated to Tsinghua University, Beijing, China

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• Sheng Wu,

  Roles Data curation, Project administration, Resources, Writing – review & editing

  Affiliation Department of Emergency, Beijing Tsinghua Changgung Hospital Affiliated to Tsinghua University, Beijing, China

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• Xiangdong Mu,

  Roles Conceptualization, Resources, Writing – review & editing

  Affiliations School of Clinical Medicine, Tsinghua University, Beijing, China, Department of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital Affiliated to Tsinghua University, Beijing, China

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• Jun Guo

  Roles Conceptualization, Formal analysis, Methodology, Project administration, Software, Writing – original draft, Writing – review & editing

  * E-mail: junguo_med@tsinghua.edu.cn

  Affiliations School of Clinical Medicine, Tsinghua University, Beijing, China, Department of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital Affiliated to Tsinghua University, Beijing, China

  https://orcid.org/0000-0002-7374-2465

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