Publisher's Synopsis
The aim of proposed book is to provide researchers and students with a comprehensive understanding of the evolving landscape of Next Generation Computing techniques for Biomedical Applications in digital health over traditional health. A wide, multidisciplinary notion called "digital health" or "digital healthcare" comprises ideas from the point where technology and healthcare converge. Digital health extends digital transformation to the healthcare sector and includes software, hardware, and solutions. The extensive field of digital health, which includes wearable technologies, telehealth and telemedicine, and personalised medicine, as well as mobile health (mHealth) apps and health information technology (IT). Benefits of digital health over traditional healthcare practices are reducing hospital re-admissions, cost savings, enhancing treatment adherence, reduce travel time, increases patient engagement and many more. So, today's healthcare system is becoming more and more dependent on digital technology. The proposed book covers next generation computing techniques for biomedical applications.
This book addresses the different seen and unseen problems which lie within the landscape of Next Generation Computing, and presents an innovative solution to healthcare. The primary focus of the book is to enhance the learning of postgraduate students and research scholars in the research area of next generation computing techniques for biomedical applications.
Key Features:
- To help beginners and professionals in the field gain the most recent advances in healthcare systems
- For industrial and academic researchers
- Outlines the key design issues and future directions for research in next-generation computing for biomedical applications.
- Explains the underlying ideas behind numerous approaches, including artificial intelligence, machine learning, deep learning, etc., with practical applications
