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Using casual inference and machine learning with exposure determinant modeling to identify important workplace controls.

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Bibliographic Details
Title:	Using casual inference and machine learning with exposure determinant modeling to identify important workplace controls.
Authors:	Shkembi A; Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, United States., Virji MA; School of Public Health, West Virginia University, Morgantown, WV, United States., He J; Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, United States., Nambunmee K; Urban Safety Innovation Research Group (USIR), School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand., Ruiz-Rudolph P; Epidemiology Program, Institute of Population Health, Faculty of Medicine, Universidad de Chile, Independencia, Santiago, Chile., Neitzel RL; Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, United States.
Source:	Annals of work exposures and health [Ann Work Expo Health] 2026 Jan 21; Vol. 70 (1).
Publication Type:	Journal Article
Journal Info:	Publisher: Oxford University Press Country of Publication: England NLM ID: 101698454 Publication Model: Print Cited Medium: Internet ISSN: 2398-7316 (Electronic) Linking ISSN: 23987308 NLM ISO Abbreviation: Ann Work Expo Health Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2398-7316
DOI:	10.1093/annweh/wxaf069