预测建模
模型验证
计算机科学
外部有效性
钥匙(锁)
质量(理念)
数据挖掘
数据科学
机器学习
统计
数学
计算机安全
认识论
哲学
作者
Richard D Riley,Lucinda Archer,Kym I E Snell,Joie Ensor,Paula Dhiman,Glen P. Martin,Laura Bonnett,Gary S. Collins
标识
DOI:10.1136/bmj-2023-074820
摘要
External validation studies are an important but often neglected part of prediction model research. In this article, the second in a series on model evaluation, Riley and colleagues explain what an external validation study entails and describe the key steps involved, from establishing a high quality dataset to evaluating a model's predictive performance and clinical usefulness.
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