… , Deep Learning (DL) … the healthcare systems. Motivated by this consideration, the contribution
of this paper is to investigate the deep learning approaches applied to healthcare systems …

… learning, which assigns some initial values to the network. This article describes the all deep
learning … This review highlights the till date progress of the six deep learning techniques …

… is the time to create smarter healthcare systems in which the best treatment decisions are
computationally learned from electronic health record data by deep-learning methodologies. …

… This study shows the systematic review of promising research areas and applications of
DL models in medical diagnosis and medical healthcare systems. The prevalent DL models, …

… Existing healthcare systems that are deployed on IoT driven … In recent past, as deep learning
has gained popularity more … bring together deep learning and IoT in healthcare industry in …

… magnificent momentum featured by deep learning for BTC by … practical experiences with
deep learning-based BTC, we … 2) Inspired by recent achievements of deep learning models …

… Deep learning offers considerable promise for medical … of deep learning algorithms versus
health-care professionals in … of deep learning models to be equivalent to that of health-care …

… In this paper, a smart healthcare system is proposed for heart disease prediction using
ensemble deep learning and feature fusion approaches. First, the feature fusion method …

… Artificial intelligence is applied for the uses of machine learning algorithm and software in
healthcare system the results of artificial intelligence is based on the data used in machine …

… Despite the growth in the number of DL papers for EHR, the majority of these papers have
used data from different countries and healthcare systems, employed different data cleaning …