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Predicting aquatic toxicity of organic compounds using the ML-DL-ens model: An integrated approach of machine learning and deep learning.

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Title: Predicting aquatic toxicity of organic compounds using the ML-DL-ens model: An integrated approach of machine learning and deep learning.
Authors: Li Y; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China. Electronic address: leeyeon0610@163.com., Fu GL; School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China., Zhang LY; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China., Chen TM; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China., Wang Q; The third exploration team of Shandong coalfield geologic bureau, Tai'an 271000, China., Ding C; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China. Electronic address: ycdingc@163.com.
Source: Ecotoxicology and environmental safety [Ecotoxicol Environ Saf] 2026 Jan 15; Vol. 310, pp. 119803. Date of Electronic Publication: 2026 Jan 28.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7805381 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1090-2414 (Electronic) Linking ISSN: 01476513 NLM ISO Abbreviation: Ecotoxicol Environ Saf Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting aquatic toxicity of organic compounds using the ML-DL-ens model: An integrated approach of machine learning and deep learning.
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  Data: <searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China. Electronic address: leeyeon0610@163.com.<br /><searchLink fieldCode="AU" term="%22Fu+GL%22">Fu GL</searchLink>; School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China.<br /><searchLink fieldCode="AU" term="%22Zhang+LY%22">Zhang LY</searchLink>; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China.<br /><searchLink fieldCode="AU" term="%22Chen+TM%22">Chen TM</searchLink>; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; The third exploration team of Shandong coalfield geologic bureau, Tai'an 271000, China.<br /><searchLink fieldCode="AU" term="%22Ding+C%22">Ding C</searchLink>; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China. Electronic address: ycdingc@163.com.
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  Data: <searchLink fieldCode="JN" term="%227805381%22">Ecotoxicology and environmental safety</searchLink> [Ecotoxicol Environ Saf] 2026 Jan 15; Vol. 310, pp. 119803. <i>Date of Electronic Publication: </i>2026 Jan 28.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7805381 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1090-2414 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201476513%22">01476513 </searchLink><i>NLM ISO Abbreviation: </i>Ecotoxicol Environ Saf <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.ecoenv.2026.119803
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              Text: 2026 Jan 15
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