Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis

被引:0
|
作者
Fei Liu
Jie Yao
Chunyan Liu
Songtao Shou
机构
[1] Tianjin Medical University General Hospital,Department of Emergency Medicine
[2] The First Affiliated Hospital of Hebei North University,Department of Anesthesiology
[3] The First Affiliated Hospital of Hebei North University,Department of Intensive Care Unit
来源
BMC Surgery | / 23卷
关键词
Machine learning models; Logistic regression model; Scoring systems; sepsis; Acute pancreatitis;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis
    Liu, Fei
    Yao, Jie
    Liu, Chunyan
    Shou, Songtao
    [J]. BMC SURGERY, 2023, 23 (01)
  • [2] Construction and validation of machine learning models based on bedside parameters for identifying sepsis in acute pancreatitis patients
    Xia, Yiqin
    Xu, Lingjie
    Lai, Qiang
    Long, Hongyu
    Zhou, Yiwu
    [J]. SIGNA VITAE, 2024, 20 (07) : 60 - 68
  • [3] Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients
    Qu, Cheng
    Gao, Lin
    Yu, Xian-qiang
    Wei, Mei
    Fang, Guo-quan
    He, Jianing
    Cao, Long-xiang
    Ke, Lu
    Tong, Zhi-hui
    Li, Wei-qin
    [J]. GASTROENTEROLOGY RESEARCH AND PRACTICE, 2020, 2020
  • [4] Prediction of the severity of acute pancreatitis using machine learning models
    Zhou, You
    Han, Fei
    Shi, Xiao-Lei
    Zhang, Jun-Xian
    Li, Guang-Yao
    Yuan, Chen-Chen
    Lu, Guo-Tao
    Hu, Liang-Hao
    Pan, Jia-Jia
    Xiao, Wei-Ming
    Yao, Guang-Huai
    [J]. POSTGRADUATE MEDICINE, 2022, 134 (07) : 703 - 710
  • [5] Comparative Analysis of Machine Learning Models for Prediction of Acute Liver Injury in Sepsis Patients
    Lu, Xiaochi
    Chen, Yi
    Zhang, Gongping
    Zeng, Xu
    Lai, Linjie
    Qu, Chaojun
    [J]. JOURNAL OF EMERGENCIES TRAUMA AND SHOCK, 2024, 17 (02)
  • [6] Machine-learning models for prediction of sepsis patients mortality
    Bao, C.
    Deng, F.
    Zhao, S.
    [J]. MEDICINA INTENSIVA, 2023, 47 (06) : 315 - 325
  • [7] Machine learning for the prediction of acute kidney injury in patients with sepsis
    Yue, Suru
    Li, Shasha
    Huang, Xueying
    Liu, Jie
    Hou, Xuefei
    Zhao, Yumei
    Niu, Dongdong
    Wang, Yufeng
    Tan, Wenkai
    Wu, Jiayuan
    [J]. JOURNAL OF TRANSLATIONAL MEDICINE, 2022, 20 (01)
  • [8] Machine learning for the prediction of acute kidney injury in patients with sepsis
    Suru Yue
    Shasha Li
    Xueying Huang
    Jie Liu
    Xuefei Hou
    Yumei Zhao
    Dongdong Niu
    Yufeng Wang
    Wenkai Tan
    Jiayuan Wu
    [J]. Journal of Translational Medicine, 20
  • [9] Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis
    He, Bihua
    Qiu, Zheng
    [J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 7
  • [10] Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach
    Fan, Zhiyan
    Jiang, Jiamei
    Xiao, Chen
    Chen, Youlei
    Xia, Quan
    Wang, Juan
    Fang, Mengjuan
    Wu, Zesheng
    Chen, Fanghui
    [J]. JOURNAL OF TRANSLATIONAL MEDICINE, 2023, 21 (01)