Predicting Food Safety Compliance for Informed Food Outlet Inspections: A Machine Learning Approach

Oldroyd, RA orcid.org/0000-0003-3422-7396, Morris, MA orcid.org/0000-0002-9325-619X and Birkin, M (2021) Predicting Food Safety Compliance for Informed Food Outlet Inspections: A Machine Learning Approach. International Journal of Environmental Research and Public Health, 18 (23). 12635.

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Copyright, Publisher and Additional Information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: food safety; food environments; food hygiene; machine learning
Dates:
  • Accepted: 13 November 2021
  • Published: 30 November 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 01 Apr 2022 15:17
Last Modified: 01 Apr 2022 15:17
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/ijerph182312635
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