Forecasting PEDv in the US through the use of machine learning

Reprinted as posted on Swine in Minnesota blog. Report written by Dr. Kim VanderWaal, Assistant Professor, Department of Veterinary Population Medicine

Key Points

• An ongoing project uses machine learning to predict PEDv cases in certain MSHMP participant systems.
• Machine learning is still underutilized in veterinary medicine, but offers great potential for the field.
• The predictions generated provide production systems and veterinarians with data based tools to aid in disease management.

Machine learning is the use of algorithms and statistical models to recognize nuanced patterns in large complex datasets. In agricultural sciences, machine learning approaches have been applied to a myriad of problems. Continue reading about how machine learning is used to forecast PEDv in the U.S.