Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …

Neurodegenerative disorders are chronic and life-threatening conditions negatively affecting
the quality of patients' lives. They often have a genetic background, but oxidative stress and …

In today's world, due to the advancement of technology, predicting the students' performance
is among the most beneficial and essential research topics. Data Mining is extremely helpful …

This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …

Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

Predicting student performance using educational data is a significant area of machine
learning research. However, class imbalance in datasets and the challenge of developing …

Abstract Knowledge discovery in databases (KDD) is crucial in analyzing data to extract
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …

The evaluation of food intake is important in scientific research and clinical practice to
understand the relationship between diet and health conditions of an individual or a …

Fault diagnosis of induction motor anomalies is vital for achieving industry safety. This paper
proposes a new hybrid Machine Learning methodology for induction-motor fault detection …

Due to the development of biomedical equipment and healthcare level, especially in the
Intensive Care Unit (ICU), a considerable amount of data has been collected for analysis …