Handbook of Data Science Approaches for Biomedical Engineering
by: Valentina Emilia Balas
Print Length 页数: 318 pages
Publisher finelybook 出版社: Academic Press (26 Nov. 2019)
Language 语言: English
ISBN-10: 0128183187
ISBN-13: 9780128183182
Book Description
Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition,the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science,i.e.,biomedical engineering,computer science,information security,and interdisciplinary tools,along with modern tools and the technologies used are also included to enhance understanding.
Today,the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years,with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices,sensors,web logs,global positioning system (GPS) data,mobile data,IoT,etc.
Contents
Contributors
1. Analysis of the role and scope of big data analytics with loT in
health care domain
2. Automated human cortical bone Haversian canal
histomorphometric comparison system
3. Biomedical instrument and automation: automatic
instrumentation in biomedical engineering
4. Performance improvement in contemporary health care using loT
allied with big data
5. Emerging trends in loT and big data analytics for biomedical and
health care technologies
6. Recent advances on big data analysis for malaria prediction and
various diagnosis methodologies
Chapter 7-Semantic interoperability in loT and big data for health
care: a collaborative approach
8. Why big data,and what it is: basics to advanced big data journey
for the medical industry
9. Semisupervised fuzzy clustering methods for X-ray image
segmentation
Index
Back Cover
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