PS11-3. A Digital Twin Framework For High-risk FAMACHA Prediction in Goats Using Bioelectrical Impedance Analysis and Grouped Machine Learning.
Early identification of anemia risk in goats is important for improving health monitoring, parasite control, and decision-making at the animal level. This study developed a digital twin-oriented machine learning framework to predict FAMACHA-derived anemia risk using bioelectrical impedance analysis (BIA) and contextu...