Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

Clinical data describing the phenotypes and treatment of patients represents an underused
data source that has much greater research potential than is currently realized. Mining of …

The past few years have witnessed an increase in the development of wearable sensors for
health monitoring systems. This increase has been due to several factors such as …

The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …

Coronary artery disease is one of the most prevalent chronic pathologies in the modern
world, leading to the deaths of thousands of people, both in the United States and in Europe …

A fog-based IoT model can be helpful for patients from remote areas with cardiovascular
disease. An expert cardiologist is usually not available in such remote areas. There are …

Abstract Background Cardiovascular diseases (CADs) are the first leading cause of death
across the world. World Health Organization has estimated that morality rate caused by …

Objective: To provide a human–Artificial Intelligence (AI) interaction review for Machine
Learning (ML) applications to inform how to best combine both human domain expertise and …

Introduction Parkinson's disease (PD) is the second most common neurodegenerative
disorder in the world, while Progressive Supranuclear Palsy (PSP) is an atypical …

Background: Physicians and health policy makers are required to make predictions during
their decision making in various medical problems. Many advances have been made in …