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Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United States.

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Title: Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United States.
Authors: Li L; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States., Stern RA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States., Garshick E; Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, Massachusetts 02132, United States.; Channing Division of Network Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, United States.; Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02115, United States., Zilli Vieira CL; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States., Coull B; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, Massachusetts 02115, United States., Koutrakis P; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.
Source: Environmental science & technology [Environ Sci Technol] 2023 Nov 21; Vol. 57 (46), pp. 18001-18012. Date of Electronic Publication: 2023 Oct 15.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural
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
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  Data: Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United States.
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  Data: <searchLink fieldCode="AU" term="%22Li+L%22">Li L</searchLink>; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.<br /><searchLink fieldCode="AU" term="%22Stern+RA%22">Stern RA</searchLink>; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.<br /><searchLink fieldCode="AU" term="%22Garshick+E%22">Garshick E</searchLink>; Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, Massachusetts 02132, United States.; Channing Division of Network Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, United States.; Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02115, United States.<br /><searchLink fieldCode="AU" term="%22Zilli+Vieira+CL%22">Zilli Vieira CL</searchLink>; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.<br /><searchLink fieldCode="AU" term="%22Coull+B%22">Coull B</searchLink>; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, Massachusetts 02115, United States.<br /><searchLink fieldCode="AU" term="%22Koutrakis+P%22">Koutrakis P</searchLink>; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, Massachusetts 02114, United States.
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  Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2023 Nov 21; Vol. 57 (46), pp. 18001-18012. <i>Date of Electronic Publication: </i>2023 Oct 15.
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        Value: 10.1021/acs.est.2c08840
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      – TitleFull: Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United States.
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              Text: 2023 Nov 21
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