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Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies.

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Bibliographic Details
Title: Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies.
Authors: Lombard MA; New England Water Science Center, U.S. Geological Survey, 331 Commerce Way, Pembroke, New Hampshire 03275, United States., Bryan MS; Institute for Minority Health Research, University of Illinois at Chicago, 1819 W. Polk, Chicago, Illinois 60612, United States., Jones DK; Utah Water Science Center, U.S. Geological Survey, 2329 West Orton Circle, West Valley City, Utah 84119, United States., Bulka C; University of North Carolina, 135 Dauer Drive, Chapel Hill, North Carolina 27599, United States., Bradley PM; South Atlantic Water Science Center, U.S. Geological Survey, Columbia, South Carolina 29210, United States., Backer LC; Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Highway NE, Chamblee, Georgia 30341, United States., Focazio MJ; Toxic Substances Hydrology Program, U.S. Geological Survey, 12201 Sunrise Valley Drive, Reston, Virginia 20192 United States., Silverman DT; Occupational and Environmental Epidemiology Branch, National Cancer Institute, 9606 Medical Center Drive, Rockville, Maryland 20850, United States., Toccalino P; Northwest-Pacific Islands Region, U.S. Geological Survey, 911 NE 11th Avenue, Portland, Oregon 97232, United States., Argos M; School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Chicago, Illinois 60612, United States., Gribble MO; Gangarosa Department of Environmental Health, Emory University, 1518 Clifton Road NE, Atlanta, Georgia 30322, United States., Ayotte JD; New England Water Science Center, U.S. Geological Survey, 331 Commerce Way, Pembroke, New Hampshire 03275, United States.
Source: Environmental science & technology [Environ Sci Technol] 2021 Apr 20; Vol. 55 (8), pp. 5012-5023. Date of Electronic Publication: 2021 Mar 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1520-5851
DOI:10.1021/acs.est.0c05239