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. |
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| 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 |
| ISSN: | 1095-8630 |
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| DOI: | 10.1016/j.jenvman.2026.129427 |
