Medical Data Sharing, Harmonization and Analytics - Softcover

Pezoulas, Vasileios; Exarchos, Themis; Fotiadis, Dimitrios I

Softcover

ISBN 10: 0128165073 ISBN 13: 9780128165072

Verlag: Academic Press, 2020

Inhaltsangabe

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.

Über diesen Titel

Über die Autorinnen und Autoren

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.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 0128165073
• ISBN 13: 9780128165072
• Einband: Taschenbuch
• Anzahl der Seiten: 382
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: eVatmaster Consulting GmbH; 497000000000; contact@evatmaster.com; ; Bettinastr. 30,60325; Frankfurt am Main; 60325; Deutschland