Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …

In recent years, the use of recommender systems has become popular on the web. To
improve recommendation performance, usage, and scalability, the research has evolved by …

With the increasing amount of information on the internet, recommendation system (RS) has
been utilized in a variety of fields as an efficient tool to overcome information overload. In …

Background Diabetes is a public health problem worldwide. Although diabetes is a chronic
and incurable disease, measures and treatments can be taken to control it and keep the …

Objectives An intelligent information technology based system could have a positive impact
on the life-style of patients suffering from chronic diseases by providing useful health …

Individuals suffer from chronic diseases without being identified in time, which brings lots of
burden of disease to the society. This paper presents a multiple disease risk prediction …

We investigate multiple disease risk prediction modeling, aimed at assessing future disease
risks for an individual who is ready for discharge after hospitalization. We propose a novel …

Over the last decade, the landscape of cloud computing has been significantly changed. It
has been known as a paradigm in which a shared pool of computing resources is accessible …

Recommender systems (RSs) are personalization tools that reduce information overload
and help in decision-making in many real-life situations. RSs are applied in various domains …

Objectives: Coronary artery disease (CAD) is caused by atherosclerosis in coronary arteries
and results in cardiac arrest and heart attack. Angiography is one of the most accurate …