
Medical Data Sharing, Harmonization and Analytics
Academic Press
Published on 8. January 2020
Book
Paperback/Softback
382 pages
978-0-12-816507-2 (ISBN)
Description
Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Biomedical engineers, biomedical researchers, policy makers in health care and medicine, as well as data analysts in bioinformatics and Data Science, Clinical Engineers, and clinicians.
Dimensions
Height: 235 mm
Width: 191 mm
Weight
780 gr
ISBN-13
978-0-12-816507-2 (9780128165072)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Vasileios Pezoulas | Themis Exarchos | Dimitrios I. Fotiadis
Medical Data Sharing, Harmonization and Analytics
E-Book
01/2020
Academic Press
€140.00
Available for download
Persons
Electrical and Computer Engineer, MSc, PhD Student, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, GR 45110 Ioannina, Greece, e-mail: bpezoulas@gmail.com, Phone: +302651008827 Professor of Data Modelling and Decision Support Systems, Department of Informatics, Ionian University, GR 49100, Corfu, Greece and Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, GR 45110 Ioannina, Greece, e-mail: exarchos@cc.uoi.gr, Phone: +302651008821 Dimitrios I. Fotiadis received his Diploma degree in chemical engineering from National Technical University of Athens, Athens, Greece, in 1985 and the Ph.D. degree in chemical engineering from the University of Minnesota, Minneapolis, MN, in 1990. He is currently Professor at the Department of Materials Science and Engineering, University of Ioannina, Greece, and affiliated researcher at the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology - FORTH. He is the Director of the Unit of Medical Technology and Intelligent Information Systems, Greece. He is the member of the board of Michailideion Cardiology Center. His research interests include modeling of human tissues and organs, intelligent wearable devices for automated diagnosis and processing/analysis of biomedical data.
Author
Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
Department of Informatics, Ionian University, Corfu, Greece
Professor of Biomedical Engineering, Department of Materials Science and Engineering, University of Ioannina, Greece
Content
1. Introduction 2. Types and sources of medical and other related data 3. Medical data sharing 4. Data protection 5. Medical data harmonization 6. Cloud infrastructures for data sharing 7. Machine learning and data analytics 8. Case studies 9. Conclusions and future trends