This paper presents our decision support system “CardioSAD” that aims to assist
cardiologists to make relevant decisions for patients who are at risk cardiovascular disease …

The production and dissemination of clinical practice guidelines (CPG) is usually reliant
upon the opinions and interventions of the physicians' knowledge that are presented in the …

The smart decision-making support framework is typically referred to as artificial intelligence
(AI). The clinical decision framework can transform the process of decision-making using …

Cardiovascular diseases remain the predominant cause of morbidity and mortality
worldwide. As the biomedical data are rapidly accumulated in the web, the retrieval of …

Along with the massive influence of computational technologies in medical research and
practice, the wide generation of patient, clinical and lab tests data make the assistance of …

We present an end to end Question and Answering system to help the clinical practitioners
in a cardiovascular healthcare environment. We introduce our proposed ontology …

In order to support the development of clinical practice guideline (CPGs) the representation
of clinical problems is necessary to actuate the relevant knowledge for well-defined and …

The purpose of this research was to solve the complication associated with the
recommendation of traditional herbal medicines, concerning the fact that an appropriate use …

Cardio Vascular Disease (CVD) is, for the most part, alluding to conditions that include
limited or blocked veins that can prompt a heart attack, chest torment (angina) or stroke. The …

Heart disease causes millions of deaths worldwide. Many approaches have been proposed
for the prediction of heart disease. Several machine learning, deep learning, and data …