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 …

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 …

Most of the pregnant women are ignorant about the risks factors and die from complications
of pregnancy. Therefore, the health data of pregnant women should be constantly …

Maternal health is a major public health concern because of its far-reaching implications for
the well-being of both the mother and the child. Most maternal deaths can be prevented if …