http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Big data and artificial intelligence for healthcare applications
"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. The book 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. This book will be useful for researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers"--
Introduction to big data -- Introduction to machine learning -- Machine learning in clinical trials : a new era -- Deep learning and its biological and biomedical applications -- Application of machine learning algorithms to cancer data -- Pancreatic cancer detection by integrated level set based deep learning model -- Precision oriented detection of cervical cancer : a deep learning based framework -- Transformation of mHealth in the society -- Artificial intelligence and deep learning for medical diagnosis and treatment -- Ethical issues and challenges with artificial intelligence in healthcare -- Epistemological issues and challenges with artificial intelligence in healthcare.
edited by Ankur Saxena, Nicolas Brault, and Shazia Rashid.
Includes bibliographical references and index.