Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis

被引:0
|
作者
Han She
Yuanlin Du
Yunxia Du
Lei Tan
Shunxin Yang
Xi Luo
Qinghui Li
Xinming Xiang
Haibin Lu
Yi Hu
Liangming Liu
Tao Li
机构
[1] Daping Hospital,Department of Anesthesiology
[2] Army Medical University,State Key Laboratory of Trauma, Burns and Combined Injury, Shock and Transfusion Department
[3] Daping Hospital,Department of Intensive Care Unit
[4] Army Medical University,undefined
[5] Daping Hospital,undefined
[6] Army Medical University,undefined
来源
关键词
Sepsis; Metabolomics; Biomarker; Machine learning; Phenylalanine metabolism;
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] Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis
    She, Han
    Du, Yuanlin
    Du, Yunxia
    Tan, Lei
    Yang, Shunxin
    Luo, Xi
    Li, Qinghui
    Xiang, Xinming
    Lu, Haibin
    Hu, Yi
    Liu, Liangming
    Li, Tao
    [J]. BMC ANESTHESIOLOGY, 2023, 23 (01)
  • [2] Identification of potential diagnostic and prognostic biomarkers for sepsis based on machine learning
    Ke, Li
    Gao, Han
    Hu, Chang
    Zhang, Jiahao
    Zhao, Qiuyue
    Sun, Zhongyi
    Peng, Zhiyong
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2023, 21 : 2316 - 2331
  • [3] Sepsis biomarkers and diagnostic tools with a focus on machine learning
    Komorowski, Matthieu
    Green, Ashleigh
    Tatham, Kate C.
    Seymour, Christopher
    Antcliffe, David
    [J]. EBIOMEDICINE, 2022, 86
  • [4] Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning
    Zhang, Genhao
    Zhang, Kai
    [J]. INFLAMMATION, 2024,
  • [5] Diagnostic and prognostic biomarkers of sepsis in critical care
    Kibe, Savitri
    Adams, Kate
    Barlow, Gavin
    [J]. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2011, 66 : II33 - II40
  • [6] Metabolomics in ischaemic stroke, new diagnostic and prognostic biomarkers
    Mauri-Capdevila, Gerard
    Jove, Mariona
    Suarez-Luis, Idalmis
    Portero-Otin, Manuel
    Purroy, Francisco
    [J]. REVISTA DE NEUROLOGIA, 2013, 57 (01) : 29 - 36
  • [7] Lysosome-Related Diagnostic Biomarkers for Pediatric Sepsis Integrated by Machine Learning
    Yang, Yang
    Zhang, Genhao
    [J]. JOURNAL OF INFLAMMATION RESEARCH, 2023, 16 : 5575 - 5583
  • [8] Screening of Serum Biomarkers of Coal Workers' Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy
    Chen, Zhangjian
    Shi, Jiaqi
    Zhang, Yi
    Zhang, Jiahe
    Li, Shuqiang
    Guan, Li
    Jia, Guang
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (12)
  • [9] Identification of Biomarkers for Methamphetamine Exposure Time Prediction in Mice Using Metabolomics and Machine Learning Approaches
    Sheng, Wei
    Sun, Runbin
    Zhang, Ran
    Xu, Peng
    Wang, Youmei
    Xu, Hui
    Aa, Jiye
    Wang, Guangji
    Xie, Yuan
    [J]. METABOLITES, 2022, 12 (12)
  • [10] Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis
    Taneja, Ishan
    Damhorst, Gregory L.
    Lopez-Espina, Carlos
    Zhao, Sihai Dave
    Zhu, Ruoqing
    Khan, Shah
    White, Karen
    Kumar, James
    Vincent, Andrew
    Yeh, Leon
    Majdizadeh, Shirin
    Weir, William
    Isbell, Scott
    Skinner, James
    Devanand, Manubolo
    Azharuddin, Syed
    Meenakshisundaram, Rajamurugan
    Upadhyay, Riddhi
    Syed, Anwaruddin
    Bauman, Thomas
    Devito, Joseph
    Heinzmann, Charles
    Podolej, Gregory
    Shen, Lanxin
    Timilsina, Sanjay Sharma
    Quinlan, Lucas
    Manafirasi, Setareh
    Valera, Enrique
    Reddy, Bobby, Jr.
    Bashir, Rashid
    [J]. CTS-CLINICAL AND TRANSLATIONAL SCIENCE, 2021, 14 (04): : 1578 - 1589