Objective Development of novel informatics methods focused on improving pregnancy
outcomes remains an active area of research. The purpose of this study is to systematically …

Neonatal care is becoming increasingly complex with large amounts of rich, routinely
recorded physiological, diagnostic and outcome data. Artificial intelligence (AI) has the …

Considering all the monitoring data of bearings until failure, very few data are acquired
when the bearings are faulty. Such circumstance leads to small faulty sample problem when …

With the development of plant phenomics, the identification of plant diseases from leaf
images has become an effective and economic approach in plant disease science. Among …

Malnutrition among newborns is a top public health concern in develo** countries.
Identification and subsequent growth monitoring are key to successful interventions …

Computer vision is a powerful tool for healthcare applications since it can provide objective
diagnosis and assessment of pathologies, not depending on clinicians' skills and …

Automatic extraction of facial feature can provide valuable information on the health of
newborns. However, determining an optimal facial features extraction strategy, especially for …

Introduction Preterm birth is the leading cause of child mortality. This study aimed to develop
and validate programmatically feasible and accurate approaches to estimate newborn …

Maternal and neonatal health outcomes in Africa remain a significant public health
challenge. 1 Despite ongoing efforts to enhance maternity services, many women across the …

Sepsis is a severe medical condition that results in millions of deaths globally each year. In
this paper, we propose a Channelled Long-Short Term Memory Network model tasked with …