Medical decision support systems (MDSS) utilized for medical diagnosis aim to improve
patient care; they do so by simulating the human cognitive process in order to arrive at a …

The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …

The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …

The accurate prediction of cardiovascular disease is an essential and challenging task to
treat a patient efficiently before occurring a heart attack. In recent times, various intelligent …

Usually, heart failure occurs when heart‐related diseases are developed and continue to
deteriorate veins and arteries. Heart failure is the final stage of heart disease, and it has …

The use of artificial intelligence in geriatrics is very promising and relevant, as the diagnosis
of a geriatric patient is a complex, experience-based, and time-consuming process that …

In this paper, a dynamic neuro-fuzzy system is proposed toward modeling the pneumatic
artificial muscle, which are widely used in robotics and rehabilitation. To benefit from the …

Background: Musculoskeletal disorders are one of the most common factors that lead to
occupational injuries among hospital staff. Considering the key role of hospital staffs in …

The integration of the Internet of Things with the Cloud improves our lives by facilitating
smooth connections between people and items. Predictive analytics, fueled by cutting-edge …

INTRODUCTION: With the growing size, complexity, and distributivity of databases,
efficiency and scalability have become highly desirable attributes of data mining algorithms …