… databases, which can allow for more generalizable deep learning solutions, but … deep
learning methods to continue steadily along with a broader adoption of these solutions into clinical …

… work related to DL in clinical informatics and HI. Now, next … , clinical informatics and nursing
informatics. Difference between both terms can be discussed as follows: • Clinical informatics…

… 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 …

… of various deep learning approaches in health informatics. A … limitations existing in the deep
learning models and highlights … information work flow and also for clinical decision making. …

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

… of biomedical 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 …

… Within the past decade, deep learning has made significant contributions to our ability to
understand and interpret genomic data, which is generally characterized by very high …

… of deep learning models to different types of clinical data. Finally, we discuss the challenge
of applying deep learning to clinical … in the secondary use of clinical informatics to improve …

… Our analysis shows growing acceptance of deep learning as a baseline for NLP research, …
surprisingly nuanced (eg, the scarcity of French language clinical NLP with deep learning). …

… recent medical informatics studies that employ deep learning, … and interpretable deep learning
architectures facilitating the … that deep learning could promote the biomedical informatics, …