Development and validation of a machine learning model for predicting pediatric metabolic syndrome using anthropometric and bioelectrical impedance parameters NatureRead More
CBSHS associate dean for health sciences joins Let’s Talk ID podcast for segment on data analytics and forecasting in public health Clemson NewsRead More