AN INTERPRETABLE MACHINE LEARNING MODEL FOR INDIVIDUALIZED GONADOTROPHIN STARTING DOSE SELECTION DURING OVARIAN STIMULATION
A machine learning model was developed using de-identified, electronic medical record data from three IVF clinics to determine the best starting dose of FSH during ovarian stimulation per individual. This tool uses historical FSH dosing and clinical outcomes as a guideline for new patients starting ovarian stimulation and may help standardize care across fertility practices.