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Updated: Jun 21, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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EASL:在临床医疗机构设计,实施和评估ML解决方案的框架

Eric Prince1, Todd C Hankinson2, Carsten Görg3

  • 1Computational Bioscience Program, Morgan Adams Foundation for Pediatric Brain Tumor Research Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

Proceedings of machine learning research
|July 11, 2024
PubMed
概括

可解释分析系统实验室 (EASL) 框架简化了临床机器学习 (ML) 工具的开发和评估. 这种全面的解决方案确保了ML模型在医疗保健应用中是有效和可靠的.

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