Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10494)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): DMAH: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare
Conference proceedings info: DMAH 2017.
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Table of contents (11 papers)
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Front Matter
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Data Privacy and Trustability for Electronic Health Records
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Front Matter
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Biomedical Data Management and Integration
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Front Matter
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Online Mining of Health Related Data
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Front Matter
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Clinical Data Analytics
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Front Matter
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Back Matter
About this book
The 9 revised full papers presented together with 2 keynote abstracts were carefully reviewed and selected from 16 initial submissions. The papers are organized in topical sections on data privacy and trustability for electronic health records; biomedical data management and Integration; online mining of Health related data; and clinical data analytics.
Editors and Affiliations
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Oak Ridge National Laboratory, Oak Ridge, USA
Edmon Begoli
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Stony Brook University, Stony Brook, USA
Fusheng Wang
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University of Washington, Seattle, USA
Gang Luo
Bibliographic Information
Book Title: Data Management and Analytics for Medicine and Healthcare
Book Subtitle: Third International Workshop, DMAH 2017, Held at VLDB 2017, Munich, Germany, September 1, 2017, Proceedings
Editors: Edmon Begoli, Fusheng Wang, Gang Luo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67186-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67185-7Published: 26 August 2017
eBook ISBN: 978-3-319-67186-4Published: 25 August 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 155
Number of Illustrations: 63 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), System Performance and Evaluation, Image Processing and Computer Vision