A hierarchical Bayesian model using 55 context-aware environmental features reduces prediction error to 1.27% in IVF data, compared to 3-5% with raw sensor averages. The model achieves R2 = 0.86 on held-out data and reduces error by 64% for women aged 35-39, showing transferable clinical signal across clinics.