Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …

Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

Heart disease is the deadliest disease and one of leading causes of death worldwide.
Machine learning is playing an essential role in the medical side. In this paper, ensemble …

This study considers the task of applying artificial intelligence to recognize bank fraud. In
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …

Today, a significant number of biomedical data is generated continuously from various
biomedical equipment and experiments due to rapid technological improvements in medical …

This study focuses on investigating the performance of different machine learning algorithms
and corresponding comparative analysis in predicting cardiovascular disease. Globally this …

Quantum machine learning aims to execute machine learning algorithms in quantum
computers by utilizing powerful laws like superposition and entanglement for solving …

One of the most life-threatening disease is cardiovascular disease. Its high mortality rate
contributes to nearly 17 million deaths all over the world. Early diagnosis helps to treat the …

Affecting millions of people all over the world, the COVID-19 pandemic has caused the
death of hundreds of thousands of people since its beginning. Examinations also found that …

The development of noisy intermediate-scale quantum computers is expected to signify the
potential advantages of quantum computing over classical computing. This paper focuses …