Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission

被引：0
作者：
Chang Hu
Lu Li
Yiming Li
Fengyun Wang
Bo Hu
Zhiyong Peng
机构：
[1] Zhongnan Hospital of Wuhan University,Department of Critical Care Medicine
[2] Clinical Research Center of Hubei Critical Care Medicine,Jiangsu Provincial Key Laboratory of Critical Care Medicine
[3] Southeast University,undefined
来源：
Infectious Diseases and Therapy | 2022年 / 11卷
关键词：
Explainable artificial intelligence; Machine learning; Random Forest; Sepsis; Mortality;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1695 / 1713
页数：18
相关论文
共 50 条
  • [1] Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission
    Hu, Chang
    Li, Lu
    Li, Yiming
    Wang, Fengyun
    Hu, Bo
    Peng, Zhiyong
    INFECTIOUS DISEASES AND THERAPY, 2022, 11 (04) : 1695 - 1713
  • [2] Prediction of in-hospital Mortality of Intensive Care Unit Patients with Acute Pancreatitis Based on an Explainable Machine Learning Algorithm
    Ren, Wensen
    Zou, Kang
    Huang, Shu
    Xu, Huan
    Zhang, Wei
    Shi, Xiaomin
    Shi, Lei
    Zhong, Xiaolin
    Peng, Yan
    Tang, Xiaowei
    Lu, Muhan
    JOURNAL OF CLINICAL GASTROENTEROLOGY, 2024, 58 (06) : 619 - 626
  • [3] Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit
    Huang, Tianzhi
    Le, Dejin
    Yuan, Lili
    Xu, Shoujia
    Peng, Xiulan
    PLOS ONE, 2023, 18 (01):
  • [4] Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit
    Mao, Baojie
    Ling, Lichao
    Pan, Yuhang
    Zhang, Rui
    Zheng, Wanning
    Shen, Yanfei
    Lu, Wei
    Lu, Yuning
    Xu, Shanhu
    Wu, Jiong
    Wang, Ming
    Wan, Shu
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [5] Predictors of in-hospital mortality in patients requiring transfer to the medical intensive care unit
    Jibril, Huzefa
    Azhar, Muhammad
    Arshad, Ainan
    Awan, Safia
    Ali, Syed Ahsan
    Tariq, Muhammed
    JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, 2025, 75 (03) : 429 - 433
  • [6] Machine learning-based in-hospital mortality risk prediction tool for intensive care unit patients with heart failure
    Chen, Zijun
    Li, Tingming
    Guo, Sheng
    Zeng, Deli
    Wang, Kai
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2023, 10
  • [7] Machine learning score to predict in-hospital outcomes in patients hospitalized in cardiac intensive care unit
    Weizman, Orianne
    Hamzi, Kenza
    Henry, Patrick
    Schurtz, Guillaume
    Hauguel-Moreau, Marie
    Trimaille, Antonin
    Bedossa, Marc
    Dib, Jean Claude
    Attou, Sabir
    Boukertouta, Tanissia
    Boccara, Franck
    Pommier, Thibaut
    Lim, Pascal
    Bochaton, Thomas
    Millischer, Damien
    Merat, Benoit
    Picard, Fabien
    Grinberg, Nissim
    Sulman, David
    Pasdeloup, Bastien
    El Ouahidi, Yassine
    Goncalves, Trecy
    Vicaut, Eric
    Dillinger, Jean-Guillaume
    Toupin, Solenn
    Pezel, Theo
    ADDICT ICCU Investigators, Victor
    EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2025, 6 (02): : 218 - 227
  • [8] Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit
    Shuxing Wei
    Hongmeng Dong
    Weidong Yao
    Ying Chen
    Xiya Wang
    Wenqing ji
    Yongsheng Zhang
    Shubin Guo
    BMC Medical Informatics and Decision Making, 25 (1)
  • [9] Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning
    Sun, Yiwu
    He, Zhaoyi
    Ren, Jie
    Wu, Yifan
    BMC ANESTHESIOLOGY, 2023, 23 (01)
  • [10] Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning
    Yiwu Sun
    Zhaoyi He
    Jie Ren
    Yifan Wu
    BMC Anesthesiology, 23
12345