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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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Milton :
Chapman and Hall/CRC,
2018.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| Physical Description: | 1 online resource (357 pages) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781351030373 135103037X 9781351030380 1351030388 9781351030359 1351030353 9781351030366 1351030361 |