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Updated: Sep 17, 2025

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诊断框架用于在临时标记的数据上本地验证临床机器学习模型

Maximilian Schuessler1, Scott Fleming1, Shannon Meyer2

  • 1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.

Communications medicine
|July 2, 2025
PubMed
概括

一个新的诊断框架在动态瘤学环境中验证机器学习模型. 它解决了数据漂移问题,并确保了可靠的临床预测和改善患者护理的时间一致性.

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