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Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches.

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Title: Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches.
Authors: Uddin MG; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland; Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh. Electronic address: mdgalal.uddin@universityofgalway.ie., Imran MH; Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh., Sajib AM; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland., Hasan MA; Bangladesh Reference institute for Chemical Measurements (BRiCM), Dr. Qudrat-e-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh., Diganta MTM; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland., Dabrowski T; Marine Institute, Rinville, Ireland., Olbert AI; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland., Moniruzzaman M; Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh.
Source: Journal of contaminant hydrology [J Contam Hydrol] 2024 Feb; Vol. 261, pp. 104307. Date of Electronic Publication: 2024 Jan 21.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8805644 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6009 (Electronic) Linking ISSN: 01697722 NLM ISO Abbreviation: J Contam Hydrol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches.
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  Data: <searchLink fieldCode="AU" term="%22Uddin+MG%22">Uddin MG</searchLink>; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland; Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh. Electronic address: mdgalal.uddin@universityofgalway.ie.<br /><searchLink fieldCode="AU" term="%22Imran+MH%22">Imran MH</searchLink>; Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Sajib+AM%22">Sajib AM</searchLink>; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland.<br /><searchLink fieldCode="AU" term="%22Hasan+MA%22">Hasan MA</searchLink>; Bangladesh Reference institute for Chemical Measurements (BRiCM), Dr. Qudrat-e-Khuda Road, Dhanmondi, Dhaka 1205, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Diganta+MTM%22">Diganta MTM</searchLink>; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland.<br /><searchLink fieldCode="AU" term="%22Dabrowski+T%22">Dabrowski T</searchLink>; Marine Institute, Rinville, Ireland.<br /><searchLink fieldCode="AU" term="%22Olbert+AI%22">Olbert AI</searchLink>; Civil Engineering, School of Engineering, College of Science and Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco-HydroInformatics Research Group (EHIRG), Civil Engineering, University of Galway, Ireland.<br /><searchLink fieldCode="AU" term="%22Moniruzzaman+M%22">Moniruzzaman M</searchLink>; Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh.
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  Data: <searchLink fieldCode="JN" term="%228805644%22">Journal of contaminant hydrology</searchLink> [J Contam Hydrol] 2024 Feb; Vol. 261, pp. 104307. <i>Date of Electronic Publication: </i>2024 Jan 21.
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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>8805644 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-6009 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201697722%22">01697722 </searchLink><i>NLM ISO Abbreviation: </i>J Contam Hydrol <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jconhyd.2024.104307
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        Text: English
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              Text: 2024 Feb
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