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Data Management and Analytics for Medicine and Healthcare

Third International Workshop, DMAH 2017, Held at VLDB 2017, Munich, Germany, September 1, 2017, Proceedings

  • Edmon Begoli
  • Fusheng Wang
  • Gang Luo

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10494)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10494)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Data Privacy and Trustability for Electronic Health Records

    1. Front Matter
      Pages 1-1
    2. Alevtina Dubovitskaya, Zhigang Xu, Samuel Ryu, Michael Schumacher, Fusheng Wang
      Pages 3-6
  3. Biomedical Data Management and Integration

    1. Front Matter
      Pages 7-7
    2. Pradeeban Kathiravelu, Yiru Chen, Ashish Sharma, Helena Galhardas, Peter Van Roy, Luís Veiga
      Pages 9-28
    3. Rudolph Pienaar, Ata Turk, Jorge Bernal-Rusiel, Nicolas Rannou, Daniel Haehn, P. Ellen Grant et al.
      Pages 29-35
    4. Xiaobo Sun, Fusheng Wang, Zhaohui Qin
      Pages 36-40
    5. Edmon Begoli, J. Blair Christian, Vijay Gadepally, Stavros Papadopoulos
      Pages 41-52
  4. Online Mining of Health Related Data

    1. Front Matter
      Pages 53-53
    2. Andrew Toulis, Lukasz Golab
      Pages 55-70
  5. Clinical Data Analytics

    1. Front Matter
      Pages 71-71
    2. Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic
      Pages 73-87
    3. Yuichi Honda, Muneo Kushima, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota
      Pages 88-101
    4. Nuno F. Lages, Bernardo Caetano, Manuel J. Fonseca, João D. Pereira, Helena Galhardas, Rui Farinha
      Pages 102-120
    5. Prateek Jain, Sagar Bhargava, Naman Jain, Shelly Sachdeva, Shivani Batra, Subhash Bhalla
      Pages 136-153
  6. Back Matter
    Pages 155-155

About these proceedings

Introduction

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.

Keywords

Association Rule Learning Big Data Data Analysis Databases Genomics Information management Mobile Computing Natural language processing Precision medicine Privacy and confidentiality Social media Visualization of clinical pathways

Editors and affiliations

  1. 1.Oak Ridge National LaboratoryOak RidgeUSA
  2. 2.Stony Brook UniversityStony BrookUSA
  3. 3.University of WashingtonSeattleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67186-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-67185-7
  • Online ISBN 978-3-319-67186-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site