Transforming Healthcare with Big Data and AI

Book Description Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Content

1. An Overview: The Past, Present and Future of Digital Health
2. The Evolving Internet of Things (IoT) in Healthcare: The Impact of IoT and Communication Technology on Health Care Services
3. Transforming Healthcare with Artificial Intelligence
4. The Applications of Blockchain in Healthcare
5. Harnessing the Power of Social Media Analytics
6. Enhancing Healthcare Decision-Making with Data-Driven Methods and Technology
7. Building Predictive Models for Healthcare
8. A Structural Approach to Statistical Machine Learning for Big Data in Healthcare
9. Informational Pathways from Natural to Artificial Systems, And Back Again