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Size Matters: Predicting Personalized Risk of Small-for-Gestational Age (SGA)

The project aims to solve the problem of a large number of low-weight births in the Indian population and the inability to predict the risk reliably in the antenatal period. The study plan goes beyond finding a single metric or rule aiming to describe the risk of Small-for-Gestational Age (SGA) in all women plan to use clustering with factor-selection on the various available data-sets. They will use algorithm development and in Bayesian modelling. At the individual level, an identification of possible causal factors behind the prediction of SGA, which will aid the clinician in determining the appropriate intervention

More information about Data Science Approaches to Improve Maternal and Child Health in India

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View the Grand Challenges partnership network

The Bill & Melinda Gates Foundation is part of the Grand Challenges partnership network. Visit www.grandchallenges.org to view the map of awarded grants across this network and grant opportunities from partners.