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Predicting High-Risk Preterm Birth Using Artificial Neural Networks.

, , , and . IEEE Trans. Information Technology in Biomedicine, 10 (3): 540-549 (2006)

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A UML Framework for Web Services-Based Clinical Decision Support., , and . IASSE, page 174-179. ISCA, (2005)Software Performance Engineering of a Web service-based Clinical Decision Support infrastructure., , and . WOSP, page 130-138. ACM, (2004)Using Artificial Intelligence to Estimate Outcomes in Perinatal Medicine., , , and . CCECE, page 730-733. IEEE, (2006)A framework to model and translate clinical rules to support complex real-time analysis of physiological and clinical data., , , , and . IHI, page 307-315. ACM, (2010)Predicting High-Risk Preterm Birth Using Artificial Neural Networks., , , and . IEEE Trans. Information Technology in Biomedicine, 10 (3): 540-549 (2006)Next Generation Neonatal Health Informatics with Artemis., , , and . MIE, volume 169 of Studies in Health Technology and Informatics, page 115-119. IOS Press, (2011)Predicting Preterm Birth Using Artificial Neural Networks., , , and . CBMS, page 103-108. IEEE Computer Society, (2005)Extending CRISP-DM to incorporate temporal data mining of multidimensional medical data streams: A neonatal intensive care unit case study., , , and . CBMS, page 1-5. IEEE Computer Society, (2009)Variability analysis with analytics applied to physiological data streams from the neonatal intensive care unit., , and . CBMS, page 1-5. IEEE Computer Society, (2012)