Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study

• Shengtao Li,

  Roles Data curation, Investigation, Writing – original draft

  Affiliation Department of Emergency, the First Hospital of Changsha, the Affiliated Hospital of Changsha, Xiangya School of Medicine, Central South University, Changsha, Hunan Province, China

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• Zhanzhan Li,

  Roles Formal analysis, Methodology, Software, Validation, Visualization, Writing – review & editing

  Affiliation Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China

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• Ruqiao Luo,

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

  Affiliation Department of Emergency, the First Hospital of Changsha, the Affiliated Hospital of Changsha, Xiangya School of Medicine, Central South University, Changsha, Hunan Province, China

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• Yanfen Li,

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

  Affiliation Department of Emergency, the First Hospital of Changsha, the Affiliated Hospital of Changsha, Xiangya School of Medicine, Central South University, Changsha, Hunan Province, China

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• Aoli Shi,

  Roles Data curation, Formal analysis, Investigation, Resources, Writing – review & editing

  Affiliation Department of Emergency, the First Hospital of Changsha, the Affiliated Hospital of Changsha, Xiangya School of Medicine, Central South University, Changsha, Hunan Province, China

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• Yanyan Li

  Roles Conceptualization, Funding acquisition, Project administration, Writing – review & editing

  * E-mail: liyanyan@csu.edu.cn

  Affiliation Department of Nursing, Xiangya Hospital, Central South University, Changsha, Hunan Province, China

  https://orcid.org/0009-0005-7231-9293

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