… 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 …

… 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 …

… 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 …

… 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 …

… 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 …

… Healthcare informatics gives digital access to the history and records of patients, surgeons,
… A Health Informatics specialist is not on the front lines of healthcare. HI enforces medical …

… deep learning models to healthcare data. Based on the analyzed work, I suggest that deep
learning … be the vehicle for translating big biomedical data into improved human health. But …

… 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 …

… as health informatics… deep learning methods used in CAD and in the health sector. Also we
have discussed many application areas in the field of medical imaging and health informatics…

… Informatics This section focuses on five chapters, wherein state-of-the-art deep learning
techniques are discussed for diagnosis and prognosis of different healthcare problems. Chapter …