… deep learning and developments in artificial neural network and then go on to discuss its
applications in healthcare … quality and easy access to medical services. The EHR (Electronic …

… part of deep learning. In this paper, deep learning for IoT applications in health care systems
is … Firstly, theoretical concepts and ideas of deep learning and technical taxonomy are …

… deep learning technologies to advance the health care domain. Based on the analyzed work,
we suggest that deep learning … and forthcoming applications of deep learning in medicine, …

… This review paper depicts the application of various deep learning algorithms used till
recently, but in future it will be used for more healthcare areas to improve the quality of diagnosis. …

… Second, we survey the application of deep learning in clinical imaging, electronic health
records, … Finally, we point out that the application of deep learning in the field of medical and …

… In addition, challenges of deep learning are also presented in this paper, such as … deep
learning, and others. The pros and cons of these algorithms and their applications in healthcare …

… to mobile apps or a medical center. That data can be complex and noisy, where deep
learning model offers a novel and efficient solutions for healthcare data. Thus, the goal of using …

… machine translation [1]. We exclusively focus on issues related to deep learning pertaining
to healthcare diagnostics which would assist the medical expert through digital assistants. …

… Deep learning models have achieved great success in healthcare applications like diagnosis
of … All this shows a potential new generation of intelligent real-life health care tools. Further …

… of deep learning, including an introduction to deep learning, the ANNs, Improving the deep
… technical tricks for image classification using deep learning. The ANNs, mathematical models …