Evaluating the Performance and External Validity of Machine Learning-Based Prediction Models in Liver Transplantation: An International Study.

被引：0
|
作者：
Ivanics, T. [1 ]
So, D. [2 ]
Claasen, M. P. [3 ]
Wallace, D. [4 ]
Patel, M. [5 ]
Gravely, A. [6 ]
Walker, K. [7 ]
Cowling, T. [7 ]
Erdman, L. [8 ]
Sapisochin, G. [3 ]
机构：
[1] Univ Toronto, Univ Hlth Network, Toronto, ON, Canada
[2] Hosp Sick Children, Ctr Computat Med, Toronto, ON, Canada
[3] Univ Hlth Network, Multi organ transplant program, Toronto, ON, Canada
[4] London Sch Hyg & Trop Med, Dept Hlth Serv Res & policy, London, England
[5] Univ Texas Southwestern Med Ctr Dallas, Div Surg Transplantat, Dallas, TX USA
[6] Univ Toronto, Multi organ transplant program, Univ Hlth Network, Toronto, ON, Canada
[7] London Sch Hyg & Trop Med, Dept Hlth Serv Res & Policy, London, England
[8] Hosp Sick Children, Ctr Computat Med, Toronto, ON, Canada
来源：
AMERICAN JOURNAL OF TRANSPLANTATION | 2022年 / 22卷
关键词：
D O I：
暂无
中图分类号：
R61 [外科手术学];
学科分类号：
摘要：
D301
引用
收藏
页码：1133 / 1134
页数：2
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