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

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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
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  Data: <searchLink fieldCode="AU" term="%22Shkembi+A%22">Shkembi A</searchLink>; Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Virji+MA%22">Virji MA</searchLink>; School of Public Health, West Virginia University, Morgantown, WV, United States.<br /><searchLink fieldCode="AU" term="%22He+J%22">He J</searchLink>; Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Nambunmee+K%22">Nambunmee K</searchLink>; Urban Safety Innovation Research Group (USIR), School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.<br /><searchLink fieldCode="AU" term="%22Ruiz-Rudolph+P%22">Ruiz-Rudolph P</searchLink>; Epidemiology Program, Institute of Population Health, Faculty of Medicine, Universidad de Chile, Independencia, Santiago, Chile.<br /><searchLink fieldCode="AU" term="%22Neitzel+RL%22">Neitzel RL</searchLink>; Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, United States.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101698454 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2398-7316 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223987308%22">23987308 </searchLink><i>NLM ISO Abbreviation: </i>Ann Work Expo Health <i>Subsets: </i>MEDLINE
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        Value: 10.1093/annweh/wxaf069
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              Text: 2026 Jan 21
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