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Updated: Jun 2, 2025

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

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使用两阶段机器学习模型对毒性起点的定量预测:化学风险评估的新方法方法 (NAM)

Vaisali Chandrasekar1, Syed Mohammad1, Omar Aboumarzouk2

  • 1Department of Surgery, Clinical Advancement Department, Hamad Medical Corporation, Qatar.

Journal of hazardous materials
|January 14, 2025
PubMed
概括

本研究引入了一种机器学习模型,用于预测化学品没有观察到不良影响水平 (NOAEL),解决风险评估中的数据缺口. 该模型通过预测参考剂量 (RfDs) 来增强化学品安全评估.

关键词:
机器学习是机器学习.颜料 颜料是一种颜料.起点的起点 起点的起点有毒性 有毒性

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