The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

Background: Major chronic diseases such as cardiovascular disease (CVD), diabetes, and
cancer impose a significant burden on people and health care systems around the globe …

In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …

The healthcare sector has long been adapted primarily and significantly from scientific
advances. Nowadays, machine learning (ML, a subset of artificial intelligence) plays a vital …

Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …

Abstract Machine learning technology is a prominent research field aiming to build a system
which imitates human intelligence. Machine learning can be applied in the healthcare …

In the past few years, big data has flattering more dominant in healthcare, due to three major
reasons, such as the huge amount of data available, expanding healthcare costs, and a …

With the development in technology, many other technologies like machine learning (ML),
deep learning, blockchain technology, Internet of Things, and quantum computing have …

In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

Big data has revolutionized the world by providing tremendous opportunities for a variety of
applications. It contains a gigantic amount of data, especially a plethora of data types that …