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Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells.

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Title: Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells.
Authors: Frndak S; Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14260, USA., Yan F; Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA 30310, USA., Edelson M; Geographic Information Systems, InterDev, Roswell, GA 30076, USA., Immergluck LC; Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA., Kordas K; Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14260, USA., Idris MY; Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, USA., Dickinson-Copeland CM; Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2023 Mar 02; Vol. 20 (5). Date of Electronic Publication: 2023 Mar 02.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells.
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  Data: <searchLink fieldCode="AU" term="%22Frndak+S%22">Frndak S</searchLink>; Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14260, USA.<br /><searchLink fieldCode="AU" term="%22Yan+F%22">Yan F</searchLink>; Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA 30310, USA.<br /><searchLink fieldCode="AU" term="%22Edelson+M%22">Edelson M</searchLink>; Geographic Information Systems, InterDev, Roswell, GA 30076, USA.<br /><searchLink fieldCode="AU" term="%22Immergluck+LC%22">Immergluck LC</searchLink>; Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.<br /><searchLink fieldCode="AU" term="%22Kordas+K%22">Kordas K</searchLink>; Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14260, USA.<br /><searchLink fieldCode="AU" term="%22Idris+MY%22">Idris MY</searchLink>; Department of Medicine, Morehouse School of Medicine, Atlanta, GA 30310, USA.<br /><searchLink fieldCode="AU" term="%22Dickinson-Copeland+CM%22">Dickinson-Copeland CM</searchLink>; Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.
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  Data: <searchLink fieldCode="JN" term="%22101238455%22">International journal of environmental research and public health</searchLink> [Int J Environ Res Public Health] 2023 Mar 02; Vol. 20 (5). <i>Date of Electronic Publication: </i>2023 Mar 02.
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        Value: 10.3390/ijerph20054477
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              Text: 2023 Mar 02
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