Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy

被引：0
|
作者：
Liwei Peng
Chi Peng
Fan Yang
Jian Wang
Wei Zuo
Chao Cheng
Zilong Mao
Zhichao Jin
Weixin Li
机构：
[1] Tangdu Hospital,Department of Neurosurgery
[2] Fourth Military Medical University,Department of Health Statistics
[3] Second Military Medical University,Institute of Pathology and Southwest Cancer Center, Southwest Hospital
[4] Third Military Medical University (Army Medical University),undefined
来源：
BMC Medical Research Methodology | / 22卷
关键词：
Machine learning; Model interpretation; Sepsis-associated encephalopathy; SAE; Web-based calculator;
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
  • [41] Machine learning algorithm to predict mortality in critically ill patients with sepsis-associated acute kidney injury
    Xunliang Li
    Ruijuan Wu
    Wenman Zhao
    Rui Shi
    Yuyu Zhu
    Zhijuan Wang
    Haifeng Pan
    Deguang Wang
    Scientific Reports, 13
  • [42] Machine learning algorithm to predict mortality in critically ill patients with sepsis-associated acute kidney injury
    Li, Xunliang
    Wu, Ruijuan
    Zhao, Wenman
    Shi, Rui
    Zhu, Yuyu
    Wang, Zhijuan
    Pan, Haifeng
    Wang, Deguang
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [43] Improved prediction of sepsis-associated encephalopathy in intensive care unit sepsis patients with an innovative nomogram tool
    Jin, Jun
    Yu, Lei
    Zhou, Qingshan
    Zeng, Mian
    FRONTIERS IN NEUROLOGY, 2024, 15
  • [44] Risk Factors Associated With 30-Day Mortality Among Neonates With A. baumannii Sepsis
    Thatrimontrichai, Anucha
    Tonjit, Pichitra
    Janjindamai, Waricha
    Dissaneevate, Supaporn
    Maneenil, Gunlawadee
    Phatigomet, Manapat
    PEDIATRIC INFECTIOUS DISEASE JOURNAL, 2021, 40 (12) : 1111 - 1114
  • [45] Identification and Evaluation of Lipocalin-2 in Sepsis-Associated Encephalopathy via Machine Learning Approaches
    Hu, Jia
    Chen, Ziang
    Wang, Jinyan
    Xu, Aoxue
    Sun, Jinkai
    Xiao, Wenyan
    Yang, Min
    JOURNAL OF INFLAMMATION RESEARCH, 2025, 18 : 3843 - 3858
  • [46] Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis
    Wen-Cheng Chao
    Chien-Hua Tseng
    Chieh-Liang Wu
    Sou-Jen Shih
    Chi-Yuan Yi
    Ming-Cheng Chan
    Annals of Intensive Care, 10
  • [47] Predictors of 30-day mortality in patients diagnosed with hepatic encephalopathy on admission to the emergency department
    Yuksek, Ali
    Acehan, Selen
    Satar, Salim
    Gulen, Muge
    Balcik, Muhammet
    Sevdimbas, Sarper
    Ince, Cagdas
    Koca, Ahmet Naci
    Tas, Adnan
    EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY, 2023, 35 (12) : 1402 - 1409
  • [48] Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis
    Chao, Wen-Cheng
    Tseng, Chien-Hua
    Wu, Chieh-Liang
    Shih, Sou-Jen
    Yi, Chi-Yuan
    Chan, Ming-Cheng
    ANNALS OF INTENSIVE CARE, 2020, 10 (01)
  • [49] Multimodal Machine Learning for Prediction of 30-Day Readmission Risk in Elderly Population
    Loutati, Ranel
    Ben-Yehuda, Arie
    Rosenberg, Shai
    Rottenberg, Yakir
    AMERICAN JOURNAL OF MEDICINE, 2024, 137 (07): : 617 - 628
  • [50] An administrative model for benchmarking hospitals on their 30-day sepsis mortality
    Darby, Jennifer L.
    Davis, Billie S.
    Barbash, Ian J.
    Kahn, Jeremy M.
    BMC HEALTH SERVICES RESEARCH, 2019, 19 (1)
12345