Comparison of Machine Learning Approaches with a General Linear Model To Predict Personal Exposure to Benzene-Reference-Cited by-同舟云学术

Comparison of Machine Learning Approaches with a General Linear Model To Predict Personal Exposure to Benzene

Published:2018-08-31 Issue:19 Volume:52 Page:11215-11222
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Aquilina Noel J.¹²^ORCID,Delgado-Saborit Juana Maria¹,Bugelli Stefano³,Ginies Jason Padovani³,Harrison Roy M.¹^ORCID

Affiliation:

1. Division of Environmental Health and Risk Management School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom

2. Department of Geosciences Faculty of Science, University of Malta, Msida, MSD 2080, Malta

3. Department of Physics Faculty of Science, University of Malta, Msida, MSD 2080, Malta

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.8b03328

Reference45 articles.

1. Exposure Assessment in Occupational and Environmental Epidemiology

2. Using Geographic Information Systems for Exposure Assessment in Environmental Epidemiology Studies

3. New developments in exposure assessment: The impact on the practice of health risk assessment and epidemiological studies

4. The Magnitude of Compounding Conservatisms in Superfund Risk Assessments1

5. The perils of prudence: How conservative risk assessments distort regulation

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