Maternal health risks can cause a range of complications for women during pregnancy. High
blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health …

The goal is to facilitate early disease detection. A Grey Wolf Optimizer (GWO) was
implemented in the proposed method, a meta-heuristic algorithm known for its efficiency in …

Preterm birth (PTB) is a major cause of child and mother mortality, a PTB classification
model can assist in assessing the health condition ahead of time and help avoid …

High-dimensional datasets, encompassing rich and valuable information, are frequently
encountered in numerous real-world scenarios. However, the task of classifying such …

Over the past few decades, artificial intelligence has been showing its high relevance and
potential in a vast number of applications, particularly in the healthcare domain. Having a …

Maternal health plays an important role in defining the health of mother, child and childbirth
experience. With the change in lifestyle over the decades, there have been many health …

A method for unanticipated fault diagnosis based on IGWO-iForest (Improved Grey Wolf
Optimizer-Isolation Forest) is proposed to address various unpredictable problems faced by …

In medical domain, dataset are found to have imbalanced distribution across the available
classes. Classification results on imbalance datasets are found to be biased towards …