Predictive models for disease detection in group-housed preweaning dairy calves using data collected from automated milk feeders

Keyphrases

• Predictive Models 100%
• Milk 100%
• Disease Diagnosis 100%
• Feeder 100%
• Calves 100%
• Preweaning 100%
• Dairy Calf 100%
• Group-housed 100%
• Feeding Behavior 50%
• Health Status 30%
• Random Forest 30%
• Calf Health 30%
• Treatment Record 30%
• Drinking Speed 30%
• Health Score 30%
• Sick 20%
• Machine Learning Algorithms 20%
• Visit Duration 20%
• Number of Visits 20%
• Gradient Boosting 20%
• United States 10%
• Predictive Algorithm 10%
• Midwestern United States 10%
• Behavioral Data 10%
• Visual Observation 10%
• Efficient Model 10%
• Performance Prediction 10%
• Risk Reduction 10%
• Predictor Variables 10%
• Infectious Diseases 10%
• Screening Tool 10%
• Opportunity to Use 10%
• Machine Learning 10%
• Generalized Linear Model 10%
• Milk Consumption 10%
• Upper Midwest 10%
• Daily Treatment 10%
• Dairy Farm 10%
• Individual Monitoring 10%
• Nasal Discharge 10%
• Ocular Discharge 10%
• Natural Food 10%
• Ear Position 10%
• F1 Score 10%
• Labour Time 10%
• Health Events 10%
• Behavior Parameters 10%
• Data Learning 10%
• Farm Visit 10%
• Research Personnel 10%
• Gradient Boosting Machine 10%
• Dirtiness 10%
• Cough Score 10%
• Sick Days 10%

Agricultural and Biological Sciences

• Dairy Calves 100%
• Feeding Behavior 83%
• Linear Models 16%
• Observational Studies 16%