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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| Title: | 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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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 33729798 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lombard+MA%22">Lombard MA</searchLink>; New England Water Science Center, U.S. Geological Survey, 331 Commerce Way, Pembroke, New Hampshire 03275, United States.<br /><searchLink fieldCode="AU" term="%22Bryan+MS%22">Bryan MS</searchLink>; Institute for Minority Health Research, University of Illinois at Chicago, 1819 W. Polk, Chicago, Illinois 60612, United States.<br /><searchLink fieldCode="AU" term="%22Jones+DK%22">Jones DK</searchLink>; Utah Water Science Center, U.S. Geological Survey, 2329 West Orton Circle, West Valley City, Utah 84119, United States.<br /><searchLink fieldCode="AU" term="%22Bulka+C%22">Bulka C</searchLink>; University of North Carolina, 135 Dauer Drive, Chapel Hill, North Carolina 27599, United States.<br /><searchLink fieldCode="AU" term="%22Bradley+PM%22">Bradley PM</searchLink>; South Atlantic Water Science Center, U.S. Geological Survey, Columbia, South Carolina 29210, United States.<br /><searchLink fieldCode="AU" term="%22Backer+LC%22">Backer LC</searchLink>; Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Highway NE, Chamblee, Georgia 30341, United States.<br /><searchLink fieldCode="AU" term="%22Focazio+MJ%22">Focazio MJ</searchLink>; Toxic Substances Hydrology Program, U.S. Geological Survey, 12201 Sunrise Valley Drive, Reston, Virginia 20192 United States.<br /><searchLink fieldCode="AU" term="%22Silverman+DT%22">Silverman DT</searchLink>; Occupational and Environmental Epidemiology Branch, National Cancer Institute, 9606 Medical Center Drive, Rockville, Maryland 20850, United States.<br /><searchLink fieldCode="AU" term="%22Toccalino+P%22">Toccalino P</searchLink>; Northwest-Pacific Islands Region, U.S. Geological Survey, 911 NE 11th Avenue, Portland, Oregon 97232, United States.<br /><searchLink fieldCode="AU" term="%22Argos+M%22">Argos M</searchLink>; School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Chicago, Illinois 60612, United States.<br /><searchLink fieldCode="AU" term="%22Gribble+MO%22">Gribble MO</searchLink>; Gangarosa Department of Environmental Health, Emory University, 1518 Clifton Road NE, Atlanta, Georgia 30322, United States.<br /><searchLink fieldCode="AU" term="%22Ayotte+JD%22">Ayotte JD</searchLink>; New England Water Science Center, U.S. Geological Survey, 331 Commerce Way, Pembroke, New Hampshire 03275, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2021 Apr 20; Vol. 55 (8), pp. 5012-5023. <i>Date of Electronic Publication: </i>2021 Mar 17. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0213155 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5851 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220013936X%22">0013936X </searchLink><i>NLM ISO Abbreviation: </i>Environ Sci Technol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33729798 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/acs.est.0c05239 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5012 Titles: – TitleFull: Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lombard MA – PersonEntity: Name: NameFull: Bryan MS – PersonEntity: Name: NameFull: Jones DK – PersonEntity: Name: NameFull: Bulka C – PersonEntity: Name: NameFull: Bradley PM – PersonEntity: Name: NameFull: Backer LC – PersonEntity: Name: NameFull: Focazio MJ – PersonEntity: Name: NameFull: Silverman DT – PersonEntity: Name: NameFull: Toccalino P – PersonEntity: Name: NameFull: Argos M – PersonEntity: Name: NameFull: Gribble MO – PersonEntity: Name: NameFull: Ayotte JD IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 04 Text: 2021 Apr 20 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1520-5851 Numbering: – Type: volume Value: 55 – Type: issue Value: 8 Titles: – TitleFull: Environmental science & technology Type: main |
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