Breastfeeding rates remain below the globally recommended levels, a situation associated
with higher infant and neonatal mortality rates. The implementation of artificial intelligence …

The Internet of Things (IoT) is vital as it offers extensive applicability in various fields,
including healthcare. In the context of the risk level during pregnancy, to monitor and predict …

Background Maternal morbidity and mortality remain critical health concerns globally. As a
result, reducing the maternal mortality ratio (MMR) is part of goal 3 in the global sustainable …

Maternal healthcare is a critical aspect of public health that focuses on the well-being of
pregnant women before, during, and after childbirth. It encompasses a range of services …

Machine learning (ML) is a subset of artificial intelligence (AI) that is booming nowadays. It
has the ability to learn from various data available and make predictions about future events …

This research leverages the capabilities of explainable artificial intelligence (XAI)
techniques, including Naive Bayes, support vector machine, decision tree, random forest …

Pregnancy-related complications and their consequences pose significant public health
challenges, particularly in rural and develo** areas where healthcare resources are …

In the healthcare industry, maternal health is of utmost importance because it directly affects
the welfare of both mothers and infants. This study explores the crucial area of predicting …

Targeted obstetric care refers to being specific with the caretaking of a pregnant woman
based on her symptoms and risk levels. It is a crucial task because pregnancy-related …

Cervical cancer is a leading cause for women and is threatening women's health globally
and it is difficult to observe any signs in the very early stage. But Machine learning will be a …