Dev Jyoti Ghosh Arnab
Data Science | Computer Science
Research Topic: Prediction of postpartum hyperketonemia in dairy cows from prepartum metabolic and management variables: a comparison of feature domains, machine-learning algorithms, and class-imbalance strategies
Research Poster Located in the Neighborhood Engagement Centers
Research Summary:
Dev Jyoti Ghosh's research evaluated whether postpartum hyperketonemia (HYK) in dairy cows could be predicted using information collected before calving. His findings suggest that routinely recorded prepartum management data may support low-cost screening for cows at risk of HYK.
