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

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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. Read more... Abstract: 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 Front Matter ....Pages I-XII Front Matter ....Pages 1-1 How Blockchain Could Empower eHealth: An Application for Radiation Oncology (Alevtina Dubovitskaya, Zhigang Xu, Samuel Ryu, Michael Schumacher, Fusheng Wang)....Pages 3-6 Front Matter ....Pages 7-7 On-Demand Service-Based Big Data Integration: Optimized for Research Collaboration (Pradeeban Kathiravelu, Yiru Chen, Ashish Sharma, Helena Galhardas, Peter Van Roy, Luís Veiga)....Pages 9-28 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 et al.)....Pages 29-35 High Performance Merging of Massive Data from Genome-Wide Association Studies (Xiaobo Sun, Fusheng Wang, Zhaohui Qin)....Pages 36-40 An Emerging Role for Polystores in Precision Medicine (Edmon Begoli, J. Blair Christian, Vijay Gadepally, Stavros Papadopoulos)....Pages 41-52 Front Matter ....Pages 53-53 Social Media Mining to Understand Public Mental Health (Andrew Toulis, Lukasz Golab)....Pages 55-70 Front Matter ....Pages 71-71 Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams (Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic)....Pages 73-87 Detection and Visualization of Variants in Typical Medical Treatment Sequences (Yuichi Honda, Muneo Kushima, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota)....Pages 88-101 Umedicine: A System for Clinical Practice Support and Data Analysis (Nuno F. Lages, Bernardo Caetano, Manuel J. Fonseca, João D. Pereira, Helena Galhardas, Rui Farinha)....Pages 102-120 Association Rule Learning and Frequent Sequence Mining of Cancer Diagnoses in New York State (Yu Wang, Fusheng Wang)....Pages 121-135 Healthsurance – Mobile App for Standardized Electronic Health Records Database (Prateek Jain, Sagar Bhargava, Naman Jain, Shelly Sachdeva, Shivani Batra, Subhash Bhalla)....Pages 136-153 Back Matter ....Pages 155-155