Medical Big Data and Internet of Medical Things : Advances, Challenges and Applications /

This book addresses recent advances in mining, learning, and analysis of big volume of medical images. The book presents taxonomies, trends and issues such as veracity in distributive, dynamic, and diverse data collection, data management, data models, hypotheses testing, training, validation, model...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Hassanien, Aboul Ella, Dey, Nilanjan, 1984-, Borra, Surekha
Format: eBook
Language:English
Published: Milton : Chapman and Hall/CRC, 2018.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book addresses recent advances in mining, learning, and analysis of big volume of medical images. The book presents taxonomies, trends and issues such as veracity in distributive, dynamic, and diverse data collection, data management, data models, hypotheses testing, training, validation, model-building, optimization techniques and governance of medical big data collected from multiple, heterogeneous IoT devises, networks, platforms and systems such as private vs. public cloud. The book includes privacy, trust, and security issues related to medical Big Data and related IoT and presents case studies in healthcare analytics as well.
Physical Description:1 online resource (357 pages)
Bibliography:Includes bibliographical references.
ISBN:9781351030373
135103037X
9781351030380
1351030388
9781351030359
1351030353
9781351030366
1351030361