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
来源：
HEPATOLOGY | 2024年 / 80卷
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
  • [21] IMPACT OF DONOR CRITERIA ON POSTOPERATIVE GRAFT FUNCTION IN LIVER-TRANSPLANTATION
    GRUENBERGER, T
    SAUTNER, T
    WAMSER, P
    MITTLBOCK, M
    STEININGER, R
    MUHLBACHER, F
    TRANSPLANTATION PROCEEDINGS, 1993, 25 (06) : 3156 - 3157
  • [22] Machine learning-based approach for predicting the consolidation characteristics of soft soil
    Singh, Moirangthem Johnson
    Kaushik, Anshul
    Patnaik, Gyanesh
    Xu, Dong-Sheng
    Feng, Wei-Qiang
    Rajput, Abhishek
    Prakash, Guru
    Borana, Lalit
    MARINE GEORESOURCES & GEOTECHNOLOGY, 2024, 42 (04) : 405 - 419
  • [23] Machine learning approach for predicting the machining characteristics of additive manufactured ABS material
    Sharma, Vikas
    Singh, Jaiinder Preet
    Hussan, Kamal
    Kumar, Rajeev
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2025, 239 (01) : 129 - 144
  • [24] DONOR FACTORS PREDICTING GRAFT FAILURE AFTER PEDIATRIC LIVER TRANSPLANTATION
    Lao, Oliver B.
    Perkins, James D.
    Dick, Andre A. S.
    Healey, Patrick J.
    Reyes, Jorge D.
    LIVER TRANSPLANTATION, 2009, 15 (07) : S213 - S213
  • [25] Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models
    Jung, Seungho
    Park, Kyemyung
    Ihn, Kyong
    Kim, Seon Ju
    Kim, Myoung Soo
    Chae, Dongwoo
    Koo, Bon-Nyeo
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [26] Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models
    Seungho Jung
    Kyemyung Park
    Kyong Ihn
    Seon Ju Kim
    Myoung Soo Kim
    Dongwoo Chae
    Bon-Nyeo Koo
    Scientific Reports, 12
  • [27] Machine-learning algorithms for predicting results in liver transplantation: the problem of donor-recipient matching
    Briceno, Javier
    Dolores Ayllon, Maria
    Ciria, Ruben
    CURRENT OPINION IN ORGAN TRANSPLANTATION, 2020, 25 (04) : 406 - 411
  • [28] A Machine Learning Approach for Prediction of Delayed Graft Function in Deceased Donor Kidney Transplant Recipients.
    Kawakita, S.
    Waterman, A.
    Everly, M.
    AMERICAN JOURNAL OF TRANSPLANTATION, 2018, 18 : 784 - 784
  • [29] Addressing a key hurdle in translational research: Predicting mouse liver microsomal stability using machine learning
    Perryman, Alexander
    Ekins, Sean
    Freundlich, Joel
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2015, 250
  • [30] A Machine Learning Approach for Predicting Nicotine Dependence
    Kharabsheh, Mohammad
    Meqdadi, Omar
    Alabed, Mohammad
    Veeranki, Sreenivas
    Abbadi, Ahmad
    Alzyoud, Sukaina
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (03) : 179 - 184
12345