Low Body Weight Prediction of Newborn Baby using Machine Learning Algorithms

Abstract — Babies who are born weighing less than 2,500 grams are referred to as having a low birth wei ght .A average newborn typically weighs around 8 pounds. A suitable medical intervention plan can be implemented if a case of possible LBW is discovered early in the pregnancy based on maternal variables in order to ultimately prevent the LBW. Low birth weight is the one factor that most significantly affects an infant's likelihood of surviving (LBW).The goal of this analysis were to identify factors that influence low birth weight in newborns, increase awareness among expectant moms, and develop a machine learning algorithm to predict low birth weight kids. The purpose of this study was to compare and choose the most suitable model for LBW prediction.