… Although many deep learning usually require lots of data for training, we design our model
in such a way that it can be trained by learning from a few samples. In other words, it is a few-…

… applied to the field of health care, essentially the management and use of patient health
information, or we can say health informatics is a combination of health care, computer science …

… deep learning methods to solve classification and segmentation problems in two major area
of health informatics … In this research, two novel deep learning models are introduced to …

… learning methods focusing around complex «Deep Learning» through the generation of “deeper” …
In May 2019, teams at Google and New York University reported that deep learning …

… while providing interpretable explanations via machine learning and deep learning based
on statistical, mathematical or physical models of healthy, disordered development and aging …

… innovational aspects of health informatics through a … of health informatics are explained.
Based on these, this chapter describes several cases, including imaging and deep learning, and …

… The deep learning is integrated to … Deep learning transforms the problem of finding the
characteristic parameters of traditional machine learning into the problem of constructing deep …

… Neural Network (CNN) deep learning method, which provides an insight into how big data
analytics can be used for the implementation of an effective health recommender engine, and …

… deep learning-based model for performing the Anomaly-based IDS scheme for Multi-vector
DDoS detection in smart healthcare informatics … for time-critical healthcare applications, as …

… The hierarchy of concepts allows the computer to learn complicated concepts by building …
be many layers deep. This book introduces a broad range of topics in relation to deep learning. …