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  4. Obstetrics and Gynaecology
  5. Obstetrics and Gynaecology publications
Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/97122
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dc.contributor.authorRavelli, A.-
dc.contributor.authorSchaaf, J.-
dc.contributor.authorMol, B.-
dc.contributor.authorTamminga, P.-
dc.contributor.authorEskes, M.-
dc.contributor.authorVan Der Post, J.-
dc.contributor.authorAbu-Hanna, A.-
dc.date.issued2014-
dc.identifier.citationEuropean Journal of Obstetrics Gynecology and Reproductive Biology, 2014; 176(1):126-131-
dc.identifier.issn0301-2115-
dc.identifier.issn1872-7654-
dc.identifier.urihttp://hdl.handle.net/2440/97122-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityAnita C.J. Ravelli, Jelle M. Schaaf, Ben Willem J. Mol, Pieter Tamminga, Martine Eskes, Joris A.M. van der Post, Ameen Abu-Hanna-
dc.language.isoen-
dc.publisherElsevier Ireland-
dc.rights© 2014 Elsevier Ireland Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.ejogrb.2014.02.030-
dc.subjectNeonatal mortality; Very preterm birth; Prediction model; Antepartum risk assessment; Ethnicity; Level of hospital-
dc.titleAntenatal prediction of neonatal mortality in very premature infants-
dc.typeJournal article-
dc.identifier.doi10.1016/j.ejogrb.2014.02.030-
pubs.publication-statusPublished-
dc.identifier.orcidMol, B. [0000-0001-8337-550X]-
Appears in Collections:Aurora harvest 3
Obstetrics and Gynaecology publications

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