Predictive models for long term survival after premature rupture of membranes

Lieveke Ameye; Jos De Brabanter; Johan K Suykens; Isabelle Cadron; Roland Devlieger; Dirk Timmerman; Bernard Spitz; Sabine Van Huffel

doi:10.1109/IEMBS.2005.1615500

Predictive models for long term survival after premature rupture of membranes

Conf Proc IEEE Eng Med Biol Soc. 2005:2005:4622-5. doi: 10.1109/IEMBS.2005.1615500.

Authors

Lieveke Ameye¹, Jos De Brabanter, Johan K Suykens, Isabelle Cadron, Roland Devlieger, Dirk Timmerman, Bernard Spitz, Sabine Van Huffel

Affiliation

¹ Dept. of Electr. Eng., Katholieke Univ., Leuven, Heverlee.

PMID: 17281270
DOI: 10.1109/IEMBS.2005.1615500

Abstract

Premature rupture of the membranes complicates 30 to 40% of the preterm deliveries. The purpose of this study is to assess the outcome of preterm prelabor rupture of the membranes (PPROM) before 26 weeks of gestation and to develop a predictive model for survival. We apply four statistical methods in order to construct a predictive model: Cox's proportional hazards model, logistic regression, least squares - support vector machines and generalized estimating equations. The obtained predictive models are tested on a prospective set and have a very good performance of > 95% for the area under the ROC-curve.