Cardiovascular disease holds the position of being the foremost cause of death worldwide.
Heart Disease Prediction (HDP) is a difficult task as it needs advanced knowledge with …

With less human involvement, the Industrial Internet of Things (IIoT) connects billions of
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …

Purpose One of the leading causes of death among women is breast cancer. However, it
has been established that early diagnosis with accurate results can ensure the prolonged …

Anemia is defined as a drop in the number of erythrocytes or hemoglobin concentration
below normal levels in healthy people. The increase in paleness of the skin might vary …

The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult because of the …

Falls are the major cause of fatal and nonfatal incidents among aged workers. Estimating
individual fall risk is crucial for occupational protection and public health. This study aimed to …

This paper aims to detect anemia using images of the lip mucosa, where the skin tissue is
thin, and to confirm the feasibility of detecting anemia noninvasively and in the home …

Various Classification techniques have been developed in past years and applied on
genomic sequence for the dynamic modelling. These methods have resulted to impressive …

The rise in death tolls due to increased infectious diseases has become one of the most
severe health problems and the largest source of death globally. Artificial Intelligence (AI) …

An imbalanced learning problem is a challenge that has grabbed the interest of academics
and industry. Class imbalance is a widespread problem in machine learning due to the …