Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU

被引:0
|
作者
Guilan Kong
Ke Lin
Yonghua Hu
机构
[1] Peking University,National Institute of Health Data Science
[2] Peking University,Center for Data Science in Health and Medicine
[3] Peking University,Department of Epidemiology and Biostatistics, School of Public Health
[4] Peking University,Medical Informatics Center
关键词
Intensive care unit; Sepsis; Prediction model; Machine learning; In-hospital mortality;
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
  • [21] Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
    Zhixuan Zeng
    Shuo Yao
    Jianfei Zheng
    Xun Gong
    BioData Mining, 14
  • [22] Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
    Zeng, Zhixuan
    Yao, Shuo
    Zheng, Jianfei
    Gong, Xun
    BIODATA MINING, 2021, 14 (01)
  • [23] An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia
    Wei, Junying
    Cao, Heshan
    Peng, Mingling
    Zhang, Yinzhou
    Li, Sibei
    Ma, Wuhua
    Li, Yuhui
    PLOS ONE, 2025, 20 (01):
  • [24] Development and validation of an interpretable machine learning model for predicting in-hospital mortality for ischemic stroke patients in ICU
    Luo, Xiao
    Li, Binghan
    Zhu, Ronghui
    Tai, Yaoyong
    Wang, Zongyu
    He, Qian
    Zhao, Yanfang
    Bi, Xiaoying
    Wu, Cheng
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2025, 198
  • [25] PREDICTION OF IN-HOSPITAL MORTALITY AND LENGTH OF STAY IN ACUTE CORONARY SYNDROME PATIENTS USING MACHINE-LEARNING METHODS
    Yakovlev, Alexey
    Metsker, Oleg
    Kovalchuk, Sergey
    Bologova, Ekaterina
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2018, 71 (11) : 242 - 242
  • [26] Prediction of in-hospital mortality rate in COVID-19 patients with diabetes mellitus using machine learning methods
    Pooneh Khodabakhsh
    Ali Asadnia
    Alieyeh Sarabandi Moghaddam
    Maryam Khademi
    Majid Shakiba
    Ali Maher
    Elham Salehian
    Journal of Diabetes & Metabolic Disorders, 2023, 22 : 1177 - 1190
  • [27] Prediction of in-hospital mortality rate in COVID-19 patients with diabetes mellitus using machine learning methods
    Khodabakhsh, Pooneh
    Asadnia, Ali
    Moghaddam, Alieyeh Sarabandi
    Khademi, Maryam
    Shakiba, Majid
    Maher, Ali
    Salehian, Elham
    JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2023, 22 (02) : 1177 - 1190
  • [28] Interpretable Machine Learning to Optimize Early In-Hospital Mortality Prediction for Elderly Patients with Sepsis: A Discovery Study
    Ke X.
    Zhang F.
    Huang G.
    Wang A.
    Computational and Mathematical Methods in Medicine, 2022, 2022
  • [29] 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):
  • [30] CURB-65 SCORE CORRELATES WITH ICU ADMISSION AND IN-HOSPITAL MORTALITY IN PATIENTS WITH SEPSIS
    Ateeli, Huthayfa
    Jaffer, Faraz
    Goel, Khushboo
    Low, See-Wei
    Natt, Bhupinder
    CRITICAL CARE MEDICINE, 2016, 44 (12)