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Updated: Jul 26, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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自动预测2.0:通过自动机器学习在医疗保健中实现诊断和预测建模的民主化

Fergus Imrie1, Bogdan Cebere2, Eoin F McKinney3

  • 1Department of Electrical and Computer Engineering, University of California, Los Angeles, California, United States of America.

PLOS digital health
|June 22, 2023
PubMed
概括

自动预测2.0是一个开源框架,使机器学习可用于开发临床诊断和预测模型. 与专家评分相比,它实现了优越的糖尿病预测,为医疗保健专业人员提供了先进的工具.

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