Predictive Models for Long Term Survival after Premature Rupture of Membranes
- Resource Type
- Conference
- Authors
- Ameye, L.; De Brabanter, J.; Suykens, J.A.K.; Cadron, I.; Devlieger, R.; Timmerman, D.; Spitz, B.; Van Huffel, S.
- Source
- 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the. :4622-4625 2005
- Subject
- Bioengineering
Predictive models
Biomembranes
Pediatrics
Pregnancy
Biomedical engineering
Volume measurement
Time measurement
Amniotic fluid
Hazards
Least squares approximation
- Language
- ISSN
- 1094-687X
1558-4615
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.