PREDICTING LIVER GRAFT DISCARD CRITERIA: A MACHINE LEARNING APPROACH TO KEY DONOR CHARACTERISTICS

被引:0
|
作者
Anouti, Ahmad [1 ]
Dahshi, Hamza [2 ]
Cotter, Thomas [1 ]
Ibrahim, Samar [3 ]
Lee, William [1 ]
Taner, Timucin
Heimbach, Julie
Patel, Madhukar [1 ,3 ]
Hassan, Sara [3 ]
机构
[1] UT SouthWestern Med Ctr, Dallas, TX USA
[2] Case Western Sch Med, Cleveland, OH USA
[3] Mayo Clin Rochester, Rochester, MN USA
关键词
D O I
暂无
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
1338
引用
收藏
页码:S1014 / S1015
页数:2
相关论文
共 50 条
  • [31] Machine Learning Approach for Predicting Bumps on Road
    Ghadge, Manjusha
    Pandey, Dheeraj
    Kalbande, Dhananjay
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2015, : 481 - 485
  • [32] Predicting chattering alarms: A machine Learning approach
    Tamascelli, Nicola
    Paltrinieri, Nicola
    Cozzani, Valerio
    COMPUTERS & CHEMICAL ENGINEERING, 2020, 143
  • [33] A Machine Learning Approach to Predicting MPN Patients
    Greenfield, Graeme
    Blayney, Jaine
    McMullin, Mary Frances
    Mills, Ken
    BRITISH JOURNAL OF HAEMATOLOGY, 2021, 193 : 61 - 61
  • [34] A Machine Learning Approach to Predicting Diabetes Complications
    Jian, Yazan
    Pasquier, Michel
    Sagahyroon, Assim
    Aloul, Fadi
    HEALTHCARE, 2021, 9 (12)
  • [35] Risk Prediction Models for Graft Failure after Liver Transplantation: A Machine-Learning Approach
    Kwong, Allison J.
    O'Connell, Chloe
    Kanzawa, Mia
    Hufker, Katherine
    Lindsay, Neil
    Kim, W. Ray
    HEPATOLOGY, 2018, 68 : 668A - 669A
  • [36] Donor eligibility criteria and liver graft acceptance criteria during normothermic regional perfusion: A systematic review
    Schurink, Ivo J.
    van de Leemkolk, Fenna E. M.
    Fondevila, Constantino
    De Carlis, Riccardo
    Savier, Eric
    Oniscu, Gabriel C.
    Huurman, Volkert A. L.
    de Jonge, Jeroen
    LIVER TRANSPLANTATION, 2022, 28 (10) : 1563 - 1575
  • [37] Predicting cyclins based on key features and machine learning methods
    Wu, Cheng-Yan
    Xu, Zhi-Xue
    Li, Nan
    Qi, Dan-Yang
    Wu, Hong-Ye
    Ding, Hui
    Jin, Yan-Ting
    METHODS, 2025, 234 : 112 - 119
  • [38] Machine Learning Algorithms for Predicting Fatty Liver Disease
    Pei, Xieyi
    Deng, Qingqing
    Liu, Zhuo
    Yan, Xiang
    Sun, Weiping
    ANNALS OF NUTRITION AND METABOLISM, 2021, 77 (01) : 38 - 45
  • [39] Predicting liver disorder based on machine learning models
    Zhao, Jing
    Wang, Peixia
    Pan, Yubiao
    JOURNAL OF ENGINEERING-JOE, 2022, 2022 (10): : 978 - 984
  • [40] Predicting Liver Disorders Using an Extreme Learning Machine
    Raja G.
    Reka K.
    Murugesan P.
    Meenakshi Sundaram S.
    SN Computer Science, 5 (6)