Objective Models for predicting preterm birth generally have focused on very preterm (28–32
weeks) and moderate to late preterm (32–37 weeks) settings. However, extreme preterm …

Introduction: As the global community strives to ensure the health and well-being of mothers
and newborns, AI emerges as a powerful ally in this noble endeavor. Through this …

Gestational diabetes mellitus (GDM) is closely related to adverse pregnancy outcomes and
other diseases. Early intervention in pregnant women who are at high risk of developing …

Background Birthweight is an important indicator during the fetal development process to
protect the maternal and infant safety. However, birthweight is difficult to be directly …

Background As more and more researchers are turning to big data for new opportunities of
biomedical discoveries, machine learning models, as the backbone of big data analysis, are …

Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …

We present risk factors for predicting miscarriage. Our data is created through an android
mobile application that collects automatically real-time data about the pregnant woman. This …

Severe maternal morbidity (SMM) is broadly defined as significant complications in
pregnancy that have an adverse effect on women's health. Identifying women who …

Background Pregnancy exposure registries are the primary sources of information about the
safety of maternal usage of medications during pregnancy. Such registries enroll pregnant …

Background We are living in an age where data is everywhere and grows up in a very
speedy way. Thanks to sensors, mobile phones and social networks, we can gather a hug …