Using machine learning to improve bovine tuberculosis control in herd level outbreaks-Reference-Cited by-同舟云学术

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Using machine learning to improve bovine tuberculosis control in herd level outbreaks

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Novakovic Aleksandar¹,Marshall Adele H¹,McGregor Carolyn²,Bressan Nadja³,McAllister Kate⁴,Courcier Emily⁵

Affiliation:

1. Queen’s University Belfast,Belfast,UK

2. Ontario Tech University,Joint Research Centre in AI for Health and Wellness, Faculty of Business and IT,Oshawa,Canada

3. University of Prince Edward Island,Faculty of Sustainable Design and Engineering,Charlottetown,Canada

4. VSAHG,Department of Agriculture and Rural Affairs (DAERA),Belfast,UK

5. Veterinary Epidemiology Unit,Department of Agriculture and Rural Affairs (DAERA),Belfast,UK

Funder

University of Prince Edward Island

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340080.pdf?arnumber=10340080

Reference17 articles.

1. Human Mycobacterium bovis infection in the United Kingdom: Incidence, risks, control measures and review of the zoonotic aspects of bovine tuberculosis

2. Decision support systems for monitoring and maintaining health in food animal populations

3. Decision Support Systems in Animal Production: A Bayesian Future;Jorgensen;Danish Institute of Agricultural Science,2001

4. Frameworks and Platforms for Monitoring Animal Health and Wellness in Human Care and in the Wild;McGregor,2023

5. The regression of the bovine tuberculin reaction: Results from the Reactor Quality Assurance study in Northern Ireland

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