… , 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 …

… , healthcare … of healthcare in future through the ongoing synergy and regular evolvement
of DL. This chapter detailed DL framework for healthcare along with detailing of deep learning …

… deep learning technologies to advance the health care domain. Based on the analyzed work,
we suggest that deep learning … biomedical data into improved human health. However, we …

… 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 …

… for integrating healthcare systems. Based on the model, a distributed deep learning
architecture is presented that can be readily integrate various healthcare database and systems …

… discusses the deep learning methods used in different healthcare fields… Healthcare systems.
The major portion of the survey discusses the deep learning applications used in healthcare…

… 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. …

With the rapid development of computer technologies and explosive growth of big data, a
growing interest has been seen in Deep Learning (DL). DL can also be considered as a subset …

… healthcare systems (IHS) in genomics and biomedicine. This paper explores advanced
concepts in deep learning … and biomedicine to integrate intelligent healthcare systems (IHS). The …

… We show that deep learning models obtain better results on ‘raw’ features which indicates
that rule-based preprocessing of clinical features is not necessary for deep learning models. …