This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.
The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena.
The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and ...
This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California.
A basic grasp of data science is recommended in order to fully benefit from this book. This book seeks to promote the exploitation of data science in healthcare systems.
Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains.
This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future ...
This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The...
This book reviews the application of artificial intelligence and machine learning in healthcare.