Predicting acute kidney injury after orthotopic liver transplantation using machine learning

被引：0
|
作者：
Bishara, A. [1 ,2 ]
Kothari, R. [2 ]
Lituiev, D. [1 ]
Hannon, V [2 ]
Bokoch, M. [2 ]
Niemann, C. [2 ,3 ]
Hadley, D. [1 ]
Adelmann, D. [2 ]
机构：
[1] UCSF, Bakar Computat Hlth Sci Inst, San Francisco, CA USA
[2] UCSF, Dept Anesthesia & Perioperat Care, San Francisco, CA USA
[3] UCSF, Div Transplant Surg, San Francisco, CA USA
来源：
TRANSPLANTATION | 2019年 / 103卷 / 08期
关键词：
D O I：
暂无
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
O-123
引用
收藏
页码：75 / 75
页数：1
相关论文
共 50 条
  • [21] Risk Factors of Acute Kidney Injury Following Orthotopic Liver Transplantation
    Yuan, Yu-Jing
    Wan, Lei
    Xue, Zhao-Jing
    Xue, Fu-Shan
    TURKISH JOURNAL OF GASTROENTEROLOGY, 2022, 33 (09): : 808 - 809
  • [22] Post liver transplantation acute kidney injury in a rat model of syngeneic orthotopic liver transplantation
    Wang, Jun
    Du, Zhiyong
    Zhang, Wen
    Han, Baosan
    Peng, Chenghong
    Chen, Nan
    LABORATORY INVESTIGATION, 2011, 91 (08) : 1158 - 1169
  • [23] Acute kidney injury: A critical care perspective for orthotopic liver transplantation
    MacDonald, Andrew J.
    Karvellas, Constantine J.
    BEST PRACTICE & RESEARCH-CLINICAL ANAESTHESIOLOGY, 2020, 34 (01) : 69 - 78
  • [24] Acute Lung Injury after Orthotopic Liver Transplantation.
    Zhao, Wei
    Worapot, Apinyachon
    Pan, Xiongxiong
    Inthuon, Sangasilpa
    Xia, Victor W.
    LIVER TRANSPLANTATION, 2013, 19 : S126 - S126
  • [25] An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation
    Yihan Zhang
    Dong Yang
    Zifeng Liu
    Chaojin Chen
    Mian Ge
    Xiang Li
    Tongsen Luo
    Zhengdong Wu
    Chenguang Shi
    Bohan Wang
    Xiaoshuai Huang
    Xiaodong Zhang
    Shaoli Zhou
    Ziqing Hei
    Journal of Translational Medicine, 19
  • [26] An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation
    Zhang, Yihan
    Yang, Dong
    Liu, Zifeng
    Chen, Chaojin
    Ge, Mian
    Li, Xiang
    Luo, Tongsen
    Wu, Zhengdong
    Shi, Chenguang
    Wang, Bohan
    Huang, Xiaoshuai
    Zhang, Xiaodong
    Zhou, Shaoli
    Hei, Ziqing
    JOURNAL OF TRANSLATIONAL MEDICINE, 2021, 19 (01)
  • [27] Machine learning approach to predict acute kidney injury after liver surgery
    Dong, Jun-Feng
    Xue, Qiang
    Chen, Ting
    Zhao, Yuan-Yu
    Fu, Hong
    Guo, Wen-Yuan
    Ji, Jun-Song
    WORLD JOURNAL OF CLINICAL CASES, 2021, 9 (36) : 11255 - 11264
  • [28] Machine learning approach to predict acute kidney injury after liver surgery
    Jun-Feng Dong
    Qiang Xue
    Ting Chen
    Yuan-Yu Zhao
    Hong Fu
    Wen-Yuan Guo
    Jun-Song Ji
    World Journal of Clinical Cases, 2021, 9 (36) : 11255 - 11264
  • [29] Predicting Progression from Acute Liver Injury to Acute Liver Failure Using a Machine Learning Algorithm
    Speiser, Jaime L.
    Koch, David G.
    Lee, William M.
    HEPATOLOGY, 2014, 60 : 546A - 546A
  • [30] Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model: A cohort study
    Soldera, Jonathan
    Corso, Leandro Luis
    Rech, Matheus Machado
    Ballotin, Vinicius Remus
    Bigarella, Lucas Goldmann
    Tome, Fernanda
    Moraes, Nathalia
    Balbinot, Rafael Sartori
    Rodriguez, Santiago
    Brandao, Ajacio Bandeira de Mello
    Hochhegger, Bruno
    WORLD JOURNAL OF HEPATOLOGY, 2024, 16 (02) : 193 - 210
12345