Literature DB >> 17281270

Predictive models for long term survival after premature rupture of membranes.

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

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.

Entities:  

Year:  2005        PMID: 17281270     DOI: 10.1109/IEMBS.2005.1615500

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Investigating the use of support vector machine classification on structural brain images of preterm-born teenagers as a biological marker.

Authors:  Carlton Chu; Hugo Lagercrantz; Hans Forssberg; Zoltan Nagy
Journal:  PLoS One       Date:  2015-04-02       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.