The need of data analytics in health informatics for better decision making is a challenging
domain for the past decade. This stimulates more interest of researchers for the design of …

With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …

Gaining knowledge and actionable insights from complex, high-dimensional and
heterogeneous biomedical data remains a key challenge in transforming health care …

In the last few years, the application of Machine Learning approaches like Deep Neural
Network (DNN) models have become more attractive in the healthcare system given the …

Biomedical and Health Informatics is an emerging field of research at the intersection of
information science, computer science, and health care. Health care informatics and …

In the recent years, deep learning models have addressed many problems in various fields.
Meanwhile, technology development has spawned the big data in healthcare rapidly …

Despite a recent wealth of data and information, the healthcare sector is lacking in
actionable knowledge. The healthcare industry faces challenges in essential areas like …

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the
state-of-the-art in deep learning-based methods for biomedical and health informatics. The …

Innovations in Deep learning (DL) are tremendous in the recent years and applications of
DL techniques are ever expanding and encompassing a wide range of services across …

The explosion of digital healthcare data has led to a surge of data-driven medical research
based on machine learning. In recent years, as a powerful technique for big data, deep …