Data Management and Analytics for Medicine and Healthcare [electronic resource] : Third International Workshop, DMAH 2017, Held at VLDB 2017, Munich, Germany, September 1, 2017, Proceedings /

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Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 10494Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XII, 155 p. 63 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319671864

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.74 23

LOC classification:

QA76.9.D3

Online resources:

Click here to access online

Contents:

Data privacy and trustability for electronic health records -- Biomedical data management and Integration -- Online mining of health related data -- Clinical data analytics.

In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017. 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.

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Data privacy and trustability for electronic health records -- Biomedical data management and Integration -- Online mining of health related data -- Clinical data analytics.

This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017. 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.

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