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
  • [41] Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury
    Tu, Kuan-Chi
    Tau, Eric Nyam Tee
    Chen, Nai-Ching
    Chang, Ming-Chuan
    Yu, Tzu-Chieh
    Wang, Che-Chuan
    Liu, Chung-Feng
    Kuo, Ching-Lung
    DIAGNOSTICS, 2023, 13 (18)
  • [42] Developing machine learning models for prediction of mortality in the medical intensive care unit
    Nistal-Nuno, Beatriz
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 216
  • [43] Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit
    Hsu, Jen-Fu
    Chang, Ying-Feng
    Cheng, Hui-Jun
    Yang, Chi
    Lin, Chun-Yuan
    Chu, Shih-Ming
    Huang, Hsuan-Rong
    Chiang, Ming-Chou
    Wang, Hsiao-Chin
    Tsai, Ming-Horng
    JOURNAL OF PERSONALIZED MEDICINE, 2021, 11 (08):
  • [44] Assessment of risk factors for in-hospital mortality after intensive care unit discharge
    Araujo, Ines
    Goncalves-Pereira, Joao
    Teixeira, Sofia
    Nazareth, Raquel
    Silvestre, Joana
    Mendes, Vtor
    Tapadinhas, Camila
    Povoa, Pedro
    BIOMARKERS, 2012, 17 (02) : 180 - 185
  • [45] A New Risk Model based on the Machine Learning Approach for Prediction of Mortality in the Respiratory Intensive Care Unit
    Yan, Peng
    Huang, Siwan
    Li, Ye
    Chen, Tiange
    Li, Xiang
    Zhang, Yuan
    Wu, Huan
    Xu, Jianqiao
    Xie, Guotong
    Xie, Lixin
    Mo, Guoxin
    CURRENT PHARMACEUTICAL BIOTECHNOLOGY, 2023, 24 (13) : 1673 - 1681
  • [46] Explainable time-series deep learning models for the prediction of mortality, prolonged length of stay and 30-day readmission in intensive care patients
    Deng, Yuhan
    Liu, Shuang
    Wang, Ziyao
    Wang, Yuxin
    Jiang, Yong
    Liu, Baohua
    FRONTIERS IN MEDICINE, 2022, 9
  • [47] A clinically applicable prediction model for the risk of in-hospital mortality in solid cancer patients admitted to intensive care units with sepsis
    Ma, ChengYong
    Sun, GuoRui
    Yang, XueWei
    Yang, Shuo
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (10) : 7175 - 7185
  • [48] Prediction of mortality risk in patients with severe community-acquired pneumonia in the intensive care unit using machine learning
    Pan, Jingjing
    Guo, Tao
    Kong, Haobo
    Bu, Wei
    Shao, Min
    Geng, Zhi
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [49] A clinically applicable prediction model for the risk of in-hospital mortality in solid cancer patients admitted to intensive care units with sepsis
    ChengYong Ma
    GuoRui Sun
    XueWei Yang
    Shuo Yang
    Journal of Cancer Research and Clinical Oncology, 2023, 149 : 7175 - 7185
  • [50] Machine learning for the prediction of delirium in elderly intensive care unit patients
    Ma, Rui
    Zhao, Jin
    Wen, Ziying
    Qin, Yunlong
    Yu, Zixian
    Yuan, Jinguo
    Zhang, Yumeng
    Wang, Anjing
    Li, Cui
    Li, Huan
    Chen, Yang
    Han, Fengxia
    Zhao, Yueru
    Sun, Shiren
    Ning, Xiaoxuan
    EUROPEAN GERIATRIC MEDICINE, 2024, : 1393 - 1403
12345