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...

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Bibliographic Details
Published in:	IEEE Transactions on information technology in biomedicine 10, 3 (2006).
Main Author:	Catley, C.
Format:	Article
Language:	English
Subjects:	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.