Infection prediction in swine populations with machine learning.
Ontology highlight
ABSTRACT: The pork industry is an essential part of the global food system, providing a significant source of protein for people around the world. A major factor restraining productivity and compromising animal wellbeing in the pork industry is disease outbreaks in pigs throughout the production process: widespread outbreaks can lead to losses as high as 10% of the U.S. pig population in extreme years. In this study, we present a machine learning model to predict the emergence of infection in swine production systems throughout the production process on a daily basis, a potential precursor to outbreaks whose detection is vital for disease prevention and mitigation. We determine features that provide the most value in predicting infection, which include nearby farm density, historical test rates, pig
SUBMITTER: Halev A
PROVIDER: S-EPMC10584972 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA