Application of Machine Learning Approaches to Predict Postnatal Growth Failure in Very Low Birth Weight Infants
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DOI: 10.3349/ymj.2022.63.7.640
Abstract: Purpose The aims of the study were to develop and evaluate a machine learning model with which to predict postnatal growth failure (PGF) among very low birth weight (VLBW) infants. Materials and Methods Of 10425… read more here.
Keywords: growth failure; postnatal growth; machine; predict postnatal ... See more keywords