Using machine learning methods and leveraging electronic health records for acute kidney injury detection and management

被引:0
|
作者
Ghazi, L. [1 ]
El-Khoury, J. [2 ]
机构
[1] Univ Alabama Birmingham, Birmingham, AL USA
[2] Yale Univ, New Haven, CT 06520 USA
关键词
D O I
10.1016/j.cca.2024.118598
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
引用
收藏
页数:1
相关论文
共 50 条
  • [1] Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health Records
    Abdullah, Sheikh S.
    Rostamzadeh, Neda
    Sedig, Kamran
    Garg, Amit X.
    McArthur, Eric
    [J]. INFORMATION, 2020, 11 (08)
  • [2] Prediction of Acute Kidney Injury in the Emergency Department Using Electronic Health Record Data and Machine Learning Methods
    Hinson, J. S.
    Martinez, D. A.
    Grams, M. S.
    Levin, S.
    [J]. ANNALS OF EMERGENCY MEDICINE, 2018, 72 (04) : S154 - S154
  • [3] Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records
    Bolt, Hikaru
    Suffel, Anne
    Matthewman, Julian
    Sandmann, Frank
    Tomlinson, Laurie
    Eggo, Rosalind
    [J]. BMC NEPHROLOGY, 2023, 24 (01)
  • [4] Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records
    Hikaru Bolt
    Anne Suffel
    Julian Matthewman
    Frank Sandmann
    Laurie Tomlinson
    Rosalind Eggo
    [J]. BMC Nephrology, 24
  • [5] Leveraging Electronic Health Records to Predict the Risk of Acute Kidney Injury after Allogeneic Hematopoietic Cell Transplantation
    Bischoff, Elena
    Kirilov, Nikola
    [J]. LIFE-BASEL, 2024, 14 (08):
  • [6] Leveraging Big Data and Electronic Health Records to Enhance Novel Approaches to Acute Kidney Injury Research and Care
    Sutherland, Scott M.
    Goldstein, Stuart L.
    Bagshaw, Sean M.
    [J]. BLOOD PURIFICATION, 2017, 44 (01) : 68 - 76
  • [7] Detection of Drug–Drug Interactions Inducing Acute Kidney Injury by Electronic Health Records Mining
    Yannick Girardeau
    Claire Trivin
    Pierre Durieux
    Christine Le Beller
    Lillo-Le Louet Agnes
    Antoine Neuraz
    Patrice Degoulet
    Paul Avillach
    [J]. Drug Safety, 2015, 38 : 799 - 809
  • [8] Opportunities in digital health and electronic health records for acute kidney injury care
    Selby, Nicholas M.
    Pannu, Neesh
    [J]. CURRENT OPINION IN CRITICAL CARE, 2022, 28 (06) : 605 - 612
  • [9] Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records
    Liu, Kang
    Zhang, Xiangzhou
    Chen, Weiqi
    Yu, Alan S. L.
    Kellum, John A.
    Matheny, Michael E.
    Simpson, Steven Q.
    Hu, Yong
    Liu, Mei
    [J]. JAMA NETWORK OPEN, 2022, 5 (07)
  • [10] Causal risk factor discovery for severe acute kidney injury using electronic health records
    Chen, Weiqi
    Hu, Yong
    Zhang, Xiangzhou
    Wu, Lijuan
    Liu, Kang
    He, Jianqin
    Tang, Zilin
    Song, Xing
    Waitman, Lemuel R.
    Liu, Mei
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2018, 18