… In the following sections of this review, we examine recent health informatics studies that
employ deep learning to discuss its relative strength and potential pitfalls. Furthermore, their …

… the main base models applied to health informatics. We begin by introducing some common
non-deep learning models used in many studies to compare or combine with deep learning …

… and health informatics, and deep learning will be highly benefited. This book would be a
good collection of state-of-the-art approaches for deep learning based biomedical and health …

… health care features. Thus this book chapter deals with detailed analysis of various deep
learning approaches in health informatics… and their applications in the health care domain. Also …

… Computer Science today has a large focus on machine learning algorithms and these are
… Deep Learning allows models consisting of multiple layers to learn representations of data …

… data in healthcare has paved the way for applications based on deep learning techniques …
This paper reviews recent trends and applications of deep learning applied to the healthcare …

… , the role of data analytics in health informatics has grown rapidly. Deep learning (DL) is
defined … developments in the use of deep learning in health informatics and makes an important …

… applied to health informatics is presented. We begin by introducing some common non-deep
learning models used in many studies to compare or combine with deep learning models. …

… concepts and models in deep learning. We reviewed the deep learning models such as RNN…
We also provided detailed case studies of deep learning in healthcare. Challenges faced in …

… (PH) represents the science of safeguarding and improving community health. In this regard,
deep learning (DL) represents an interesting area of research. DL application has been …