Preterm birth (<37 weeks gestation) and the associated complications has become the single leading cause of death in children under the age of five worldwide. Phenotyping, or classifying, preterm births is an innovative approach to tracking patterns and prioritizing interventions. There are many complicating factors associated with collecting records and tracking trends, particularly in LMICs. This project aims to investigate the ability and data requirements to consistently phenotype preterm birth in a low-resource setting.