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Updated: Sep 20, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用可解释机器学习和虚拟数据增强来预测三甲发生率和癌症风险

Zhaopeng Li1, Wencheng Ma1, Yu Ouyang1

  • 1State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, PR China.

Journal of hazardous materials
|May 28, 2025
PubMed
概括

本研究引入了一种机器学习框架,使用虚拟数据增强来预测饮用水中的三甲 (THM) 和癌症风险. 该方法使得成本效益高的水质监测成为可能,即使是在数据有限的地区.

关键词:
癌症风险 癌症风险 癌症风险机器学习是机器学习.三甲酸盐是一种三甲.统一的多元体近似和投影.虚拟数据生成的虚拟数据生成.

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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