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Environmental impact level prediction for inorganic and organic chemicals using machine learning models and interpretability analysis.

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Title: Environmental impact level prediction for inorganic and organic chemicals using machine learning models and interpretability analysis.
Authors: Yang CH; Graduate Institute of Environmental Engineering, College of Engineering, National Taiwan University, Taipei, Taiwan., Hsu KC; Graduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan; Cancer Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: piki@tmu.edu.tw., Chiueh PT; Graduate Institute of Environmental Engineering, College of Engineering, National Taiwan University, Taipei, Taiwan. Electronic address: ptchueh@ntu.edu.tw.
Source: Journal of environmental management [J Environ Manage] 2026 Apr 15; Vol. 404, pp. 129427. Date of Electronic Publication: 2026 Mar 21.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Yang+CH%22">Yang CH</searchLink>; Graduate Institute of Environmental Engineering, College of Engineering, National Taiwan University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hsu+KC%22">Hsu KC</searchLink>; Graduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan; Cancer Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: piki@tmu.edu.tw.<br /><searchLink fieldCode="AU" term="%22Chiueh+PT%22">Chiueh PT</searchLink>; Graduate Institute of Environmental Engineering, College of Engineering, National Taiwan University, Taipei, Taiwan. Electronic address: ptchueh@ntu.edu.tw.
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  Data: <searchLink fieldCode="JN" term="%220401664%22">Journal of environmental management</searchLink> [J Environ Manage] 2026 Apr 15; Vol. 404, pp. 129427. <i>Date of Electronic Publication: </i>2026 Mar 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Academic+Press%22">Academic Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0401664 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1095-8630 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203014797%22">03014797 </searchLink><i>NLM ISO Abbreviation: </i>J Environ Manage <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jenvman.2026.129427
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        Text: English
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        StartPage: 129427
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      – TitleFull: Environmental impact level prediction for inorganic and organic chemicals using machine learning models and interpretability analysis.
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              Text: 2026 Apr 15
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