A data-driven approach to predict Small-for-Gestational-Age infants


This work studies the problem of identifying risk factors of Small for Gestational Age (SGA) and building classifiers for SGA prediction. Recently, SGA infants have received more and more concerns as this illness brings many difficulties to them along with their whole life. Some experts have begun to study the risk factors of SGA onset by using traditional… (More)
DOI: 10.1109/ICNSC.2016.7479016


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