Introduction: This study aimed to develop models for predicting total serum bilirubin by correcting errors of transcutaneous bilirubin using machine learning based on neonatal biomarkers that could af
A total of 745 infants’ 2,235 images (with an average size of 567*567 ) are collected in the NeoJaundice dataset from the Xuzhou central hospital. The initial binary labels are generated using the tot
ABSTRACT: Background : Neonatal jaundice is one of the most prevalent condition during first week of life causing morbidity and even mortality in few, especially in low – middle income co
