Health complications during the gestation period have evolved as a global issue. These
complications sometimes result in the mortality of the fetus, which is more prevalent in …

With the evolution and popularity of computer networks, a tremendous amount of devices
are increasingly being added to the global internet connectivity. Additionally, more …

Accurate prediction of a newborn's birth weight (BW) is a crucial determinant to evaluate the
newborn's health and safety. Infants with low BW (LBW) are at a higher risk of serious short …

Several developments in computational image processing methods assist the radiologist in
detecting abnormal breast tissue in recent years. Consequently, deep learning-based …

Maternal mortality is a major public health concern worldwide. It is the number of
preventable deaths that occur each year due to pregnancy and childbirth. The research …

Cataract is one of the prevailing cause of blindness in the industrial world that accounts for
more than 50% of blindness. The early detection of cataract can protect serious threats of …

Background Low birth weight (LBW,< 2500 g) infants are at significant risk for death and
disability. Improving outcomes for LBW infants requires access to advanced neonatal care …

Background Fetal health monitoring throughout pregnancy is challenging and complex.
Complications in the fetal health not identified at the right time lead to mortality of the fetus as …

In the large for gestational age infant's classification and prediction, noisy features are
distilled to improve the classifier performance. It is accomplished with the creation of a …

Background Longitudinal data in health informatics studies often presented challenges due
to sparse observations from each subject, limiting the application of contemporary deep …