Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2017)

[Gang Luo]

                        -- Call for Participation --

    The Third International Workshop on Data Management and Analytics
                     for Medicine and Healthcare (DMAH 2017)
                    In Conjunction with VLDB 2017
                  Munich, Germany, September 1, 2017
                         http://dmah.info/


Healthcare enterprises are producing large amounts of data through 
electronic
medical records, medical imaging, health insurance claims, surveillance, 
and
others. Such data have high potential to transform current healthcare to
improve healthcare quality and prevent diseases, and advance biomedical
research. Medical Informatics is an interdisciplinary field that studies
and pursues the effective use of medical data, information, and knowledge
for scientific inquiry, problem solving and decision making, driven by 
efforts
to improve human health and well being.

The goal of the workshop is to bring people in the field cross-cutting
information management and medical informatics to discuss innovative data
management and analytics technologies highlighting end-to-end applications,
systems, and methods to address problems in healthcare, public health, and
everyday wellness, with clinical, physiological, imaging, behavioral,
environmental, and omic- data, and data from social media and the Web. It
will provide a unique opportunity for interaction between information
management researchers and biomedical researchers for the interdisciplinary
field.

This year, we have a rich program covering various topics, including data
privacy and trustability, biomedical data management and integration,
online mining of health related data, and clinical data analytics.

Program:

08:30-10:00 Session 1: Data Privacy and Trustability for Electronic Health
             Records

08:30-08:40 Opening remark

08:40-9:30 Keynote I: Health Data Management and Analytics with Privacy and
           Confidentiality
           (Li Xiong, Emory University, USA)

9:30-10:00 How Blockchain could Empower eHealth: an Application for 
Radiation
          Oncology
          (Alevtina Dubovitskaya, Zhigang Xu, Samuel Ryu, Michael Ignaz 
Schumacher
          and Fusheng Wang)

10:00-10:30 Coffee Break

10:30-12:00 Session 2: Biomedical Data Management and Integration

10:30-10:55 On-Demand Service-Based Big Data Integration: Optimized for
          Research Collaboration
          (Pradeeban Kathiravelu, Yiru Chen, Ashish Sharma, Helena 
Galhardas,
           Peter Van Roy and Luís Veiga)

10:55-11:20 CHIPS – A Service for Collecting, Organizing, Processing, and
          Sharing Medical Image Data in the Cloud
          (Rudolph Pienaar, Ata Turk, Jorge Bernal-Rusiel, Nicolas Rannou,
           Daniel Haehn, P. Ellen Grant and Orran Krieger)

11:20-11:45 High Performance Merging of Massive Data from Genome-Wide
          Association Studies
          (Xiaobo Sun, Fusheng Wang and Zhaohui Qin)

11:45-12:10 Healthsurance – Mobile App for Standardized Electronic Health
          Records Database (Prateek Jain, Sagar Bhargava, Naman Jain, Shelly
          Sachdeva, Shivani Batra and Subhash Bhalla)

12:00-13:30 Lunch Break

13:30-15:00 Session 3: Online Mining of Health Related Data

13:30-14:30 Keynote II: Analysis of Online Health-Related User-Generated 
Content
         (Vagelis Hristidis, University of California, Riverside, USA)

14:30-15:00 Social media mining to understand public mental health
         (Andrew Toulis and Lukasz Golab)

15:00-15:30 Coffee Break

15:30-17:00 Session 4: Clinical Data Analytics

15:30-16:00 Effects of varying sampling frequency on the analysis of 
continuous
         ECG data streams
        (Ruhi Mahajan, Rishikesan Kamaleswaran and Oguz Akbilgic)

16:00-16:30 Detection and Visualization of Variants in Typical Medical 
Treatment
        Sequences
       (Yuichi Honda, Muneo Kushima, Tomoyoshi Yamazaki, Kenji Araki and 
Haruo Yokota)

16:30-17:00 Umedicine: A System for Clinical Practice Support and Data 
Analysis
       (Nuno F. Lages, Bernardo Caetano, Manuel J. Fonseca, João D. 
Pereira, Helena
        Galhardas and Rui Farinha)

17:00: Closing Remarks


Workshop Chairs:
    Fusheng Wang, Stony Brook University, USA
    Gang Luo, University of Washington, USA
    Edmon Begoli, Oak Ridge National Laboratory, USA