Predicting High-Risk Preterm Birth Using Artificial Neural Networks.

A reengineered approach to the early prediction of preterm birth is presented as a complimentary technique to the current procedure of using costly and invasive clinical testing on high-risk maternal populations. Artificial neural networks (ANNs) are employed as a screening tool for preterm birth on...

Szczegółowa specyfikacja

Opis bibliograficzny
Wydane w:	IEEE Transactions on information technology in biomedicine 10, 3 (2006).
1. autor:	Catley, C.
Format:	Artykuł
Język:	English
Hasła przedmiotowe:	Artificial neural networks. Artificial training set. Back-propagation feedforward ANN. Decision support systems. Free flow oxygen. Gestation. Heterogeneous maternal population. Network sensitivity. Obstetrical outcome estimation. Pattern classification. Perinatal care. Preterm birth prediction. Reengineered approach. Refined high-risk preterm birth outcome. Resuscitation. Risk estimation.