A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)

A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)

Quantitative structure–activity relationships (QSARs) have been used to predict mixture toxicity. However, current research faces gaps in achieving accurate predictions of the mixture toxicity of azole fungicides. To address this gap, the application of machine learning (ML) algorithms has emerged a...

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Bibliographic Details
Main Authors: Li-Tang Qin, Xue-Fang Tian, Jun-Yao Zhang, Yan-Peng Liang, Hong-Hu Zeng, Ling-Yun Mo
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Environment International
Subjects:
Azole Fungicides
QSARs
Machine Learning Algorithms
Consensus Model
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412024007487
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