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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