High-risk prediction of cardiovascular disease is of great significance and impendency in
medical fields with the increasing phenomenon of sub-health these years. Most existing …

Nowadays classification models have been widely adopted in healthcare, aiming at
supporting practitioners for disease diagnosis and human error reduction. The challenge is …

Predicting the future risk of cardiovascular diseases from the historical Electronic Health
Records (EHRs) is a significant research task in personalized healthcare fields. In recent …

Telecommunication system providers move their IP multimedia subsystems to virtualized
services in the cloud. For such systems, dedicated hardware solutions provided a reliability …

Predicting highrisk vascular diseases is a significant issue in the medical domain. Most
predicting methods predict the prognosis of patients from pathological and radiological …

Brain tumor is a deadly disease where 3.7% per 100,000 patients have malignant tumors.
To analyze brain tumors can be done through magnetic resonance imaging (MRI) image …

Disease prediction by using a variety of healthcare data to assist doctors in disease
diagnosis is becoming a more and more important research topic recently. This paper …

Major adverse cardiovascular events (MACE) encompass pivotal cardiovascular outcomes
such as myocardial infarction, unstable angina, and cardiovascular-related mortality …

Although healthcare sector has evolved with several new computer technologies it requires
effective and efficient analytical techniques to truly exploit the benefits. As the industry is time …

Cloud computing is widely applied by modern software development companies. Providing
digital services in a cloud environment offers both the possibility of cost-efficient usage of …