The current study performs a systematic literature review (SLR) to synthesise prior research
on the applicability of big data analytics (BDA) in healthcare. The SLR examines the …

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 …

Big data is the compilation of enormous data that arrives from diverse sources for instance
online transaction details, social media, sensor data, etc. Such assortment of enormous data …

Deep neural networks are a class of powerful machine learning model that uses successive
layers of non-linear processing units to extract features from data. However, the training …

Aims Gestational diabetes (GDM) is the most common metabolic disorder of pregnancy,
requiring complex management and empowerment of those affected. Mobile health …

(1) Background: AI-based solutions could become crucial for the prediction of pregnancy
disorders and complications. This study investigated the evidence for applying artificial …

The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of
AI in women's health, discover gaps, and discuss the future of AI in maternal health. A …

The prevalence of diabetes is rising globally. Diabetes patients need continuous monitoring,
and to achieve this objective, they have to be engaged in their healthcare management …

Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …

Compound probiotics are biological products made by mixing and cultivating various
probiotics according to appropriate composition and ratio. It can not only play the role of a …