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Updated: Jun 18, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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从政策到预测:在机器学习和疾病模型的综合框架中评估预测准确性

Amit K Chakraborty1, Hao Wang1, Pouria Ramazi2

  • 1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada.

Journal of computational biology : a journal of computational molecular cell biology
|August 2, 2024
PubMed
概括

这项研究比较了用于预测传染病传播的机器学习 (ML) 模型. 贝叶斯网络 (BNs) 在数据匹配方面表现出卓越的表现,尽管模型的整体预测准确性相似.

关键词:
混合型 混合型 混合型 混合型假设测试 测试 假设测试传染病是一种传染性疾病.机器学习是机器学习.时间变化的传输速率.

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