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. |
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| 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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| ISSN: | 1660-4601 |
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| DOI: | 10.3390/ijerph20054477 |
