Objective. Preterm birth (PTB) was one of the leading causes of neonatal death. Predicting
PTB in the first trimester and second trimester will help improve pregnancy outcomes. The …

Background: Preterm birth (PTB), a common pregnancy complication, is responsible for 35%
of the 3.1 million pregnancy-related deaths each year and significantly affects around 15 …

Preterm birth (PTB) in a pregnant woman is the most serious issue in the field of
Gynaecology and Obstetrics, especially in rural India. In recent years, various clinical …

Preterm birth is the leading cause of neonatal death. It is challenging to predict preterm birth.
We elucidated the state of artificial intelligence research on the prediction of preterm birth …

Preterm birth is the leading cause of perinatal morbidity and mortality, but a precise
mechanism is still unknown. Hence, the goal of this study is to explore the risk factors of …

Background Globally, the preterm birth rate has tended to increase over time.
Ultrasonography cervical-length assessment is considered to be the most effective …

Background Machine learning could be used for prognosis/diagnosis of maternal and
neonates' diseases by analyzing the data sets and profiles obtained from a pregnant mother …

Background The use of artificial intelligence has revolutionized every area of life such as
business and trade, social and electronic media, education and learning, manufacturing …

Background Preterm birth is serious public health worldwide, and early prediction of preterm
birth in pregnant women may provide assistance for timely intervention and reduction of …

Objectives Preterm birth (PTB) is a leading cause of neonatal death and the second biggest
cause of death in children under five years of age. The objective of this study was to …