Developing a Machine Learning Model for Predicting Postnatal Growth in Very Low Birthweight Infants
Monday February 3 rd , 2020 – 10:30 am Sala Seminari, DISCo Andrea Seveso Abstract: Objective of the work is the development of prognostic machine learning models that predict qualitative and quantitative measures of postnatal growth in very low birth