The Pathway to Health. ... Newly corrected and augmented
Author: Peter LEVENS
Publisher:
Published: 1664
Total Pages: 424
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Peter LEVENS
Publisher:
Published: 1664
Total Pages: 424
ISBN-13:
DOWNLOAD EBOOKAuthor: Peter LEVENS
Publisher:
Published: 1632
Total Pages: 246
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1891
Total Pages: 788
ISBN-13:
DOWNLOAD EBOOKAuthor: British Museum. Department of Printed Books
Publisher:
Published: 1962
Total Pages: 448
ISBN-13:
DOWNLOAD EBOOKAuthor: British museum. Dept. of printed books
Publisher:
Published: 1931
Total Pages: 440
ISBN-13:
DOWNLOAD EBOOKAuthor: Glasgow Archaeological Society
Publisher:
Published: 1908
Total Pages: 718
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1908
Total Pages: 580
ISBN-13:
DOWNLOAD EBOOKAuthor: National Library of Medicine (U.S.)
Publisher:
Published: 1967
Total Pages: 720
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1992
Total Pages: 40
ISBN-13:
DOWNLOAD EBOOKAuthor: Adam Bohr
Publisher: Academic Press
Published: 2020-06-21
Total Pages: 385
ISBN-13: 0128184396
DOWNLOAD EBOOKArtificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. 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 ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data