UTILIZATION OF NEURAL NETWORK IN IDENTIFICATION RISK FACTORS AFFECTING NEONATAL OUTCOME AFTER PRETERM LABOUR

Rania Hamdy Abdou;

Abstract


reterm birth is the single greatest cause of perinatal morbidity and mortality in nonanomlaous infants, responsible for 70 percent of fetal, neonatal, and infant deaths. The outcome for premature and low-birth-weight infants is better than most medical pr


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Title UTILIZATION OF NEURAL NETWORK IN IDENTIFICATION RISK FACTORS AFFECTING NEONATAL OUTCOME AFTER PRETERM LABOUR
Authors Rania Hamdy Abdou
Keywords UTILIZATION OF NEURAL NETWORK IN IDENTIFICATION RISK FACTORS AFFECTING NEONATAL OUTCOME AFTER PRETERM LABOUR
Issue Date 2004
Description 
reterm birth is the single greatest cause of perinatal morbidity and mortality in nonanomlaous infants, responsible for 70 percent of fetal, neonatal, and infant deaths. The outcome for premature and low-birth-weight infants is better than most medical pr

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