… , 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 …

… Medical imaging in health informatics can be elaborated to … Biologically, health informatics
have anticipated translational … (CNNs) as a deep learning approach in health informatics have …

… 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 …

… deep learning augmented with non-linear cellular automata with greater security, adaptability
for health informatics… many open problems in medical informatics, bioinformatics, and …

… the foundations of deep learning and its applications to health informatics. It … deep learning
history, various models used in deep learning, and deep learning applications in healthcare. …

… This study uses deep learning methods to analyze the EEG signals of athletes. It then proposes
and designs a channel attention module connected to the input layer of the convolutional …

… deep learning show an improved potential in learning patterns and extracting attributes from
a complex dataset. We would first introduce deep learning … its applications in healthcare and …

… Summary:“This new volume discusses state-of-the-art deep learning techniques and
approaches that can be applied in biomedical systems and health informatics. Deep learning in the …