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Updated: Sep 8, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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可解释的机器学习用于预测化学品的关键危险性质

Kunsen Lin1, Boyang Liao1, Xiaochuan Chen1

  • 1College of Environmental and Resource Sciences, Fujian Key Laboratory of Pollution Control & Resource Reuse, Fujian College and University Engineering Research Center for Municipal Waste Resourceization and Management, Fujian Normal University, Fuzhou, Fujian 350117, China.

Waste management (New York, N.Y.)
|September 5, 2025
PubMed
概括

机器学习模型可以准确预测化学危害, 这些模型提供了高效,可扩展的预测,减少了危险化学品管理的实验测试.

关键词:
易燃性机器学习与水发生反应反应性有毒性

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