医学
风险评估
梅德林
普通外科
计算机安全
计算机科学
政治学
法学
作者
Jeremy A. Balch,Matthew M. Ruppert,Ziyuan Guan,Timothy R. Buchanan,Kenneth L. Abbott,Benjamin Shickel,Azra Bihorac,Muxuan Liang,Gilbert R. Upchurch,Christopher J. Tignanelli,Tyler J. Loftus
出处
期刊:JAMA Surgery
[American Medical Association]
日期:2024-10-09
被引量:1
标识
DOI:10.1001/jamasurg.2024.4299
摘要
Machine learning tools are increasingly deployed for risk prediction and clinical decision support in surgery. Class imbalance adversely impacts predictive performance, especially for low-incidence complications.
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