Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration

• Main Authors: Brenda F. Narice (Author), Mariam Labib (Author), Mengxiao Wang (Author), Victoria Byrne (Author), Joanna Shepherd (Author), Z. Q. Lang (Author), Dilly OC Anumba (Author)
• Format: Book
• Published: BMC, 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Current predictive machine learning techniques for spontaneous preterm birth heavily rely on a history of previous preterm birth and/or costly techniques such as fetal fibronectin and ultrasound measurement of cervical length to the disadvantage of those considered at low risk an...