The 2nd International Workshop on Health Data Management and Mining (HDMM) 2017
Website: http://sites.google.com/site/hdmm2017/
Held in conjunction with the 33rd IEEE International Conference on Data Engineering (ICDE) 2017, San Diego, CA
Website: http://icde2017.sdsc.edu
Call for Papers
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Health data originate from a wide variety of heterogeneous data
sources which include medical literature, Electronic Medical Records
(EMRs), medical imaging data, time series data from ICU/in-hospital
sensors, insurance claims data, wearable sensors, mobile health
applications data, omics data, etc., just to name a few. However,
unlike many other domains much of these information remain in paper
form, lack common standards, are not shared and frequently hampered by
the lack of fool-proof de-identification for patient privacy. Much of
healthcare data remains hidden as unstructured data in the form of
clinical notes, imaging reports, patient narratives, and so on.
Effective integration and management of these multiple heterogeneous
data sources and mining them for actionable insights requires
inter-disciplinary research across multiple domains of computer and
medical sciences. The goal of this workshop is to bring together
researchers cross-cutting the fields of data management and medical
informatics to discuss the unique challenges in health care data
management and to propose novel and practical solutions for next
generation “data driven” healthcare systems.
The workshop is intended to facilitate cross-disciplinary research
collaboration to develop innovative solutions for healthcare data
management and mining, effectively breaking the “data silos” barrier
across the diverse health data sources. We also intend to discuss
potential of creating common datasets for future research which can be
made available publicly by addressing concerns such as privacy.
Topics of interest include but not limited to:
-Big data integration of heterogeneous health data sources
-Web-scale & cloud based medical data management systems
-NoSQL/NewSQL/Graph databases for healthcare data management
-Novel visualization of healthcare data in complex and critical medical environments
-Natural language processing and text mining techniques for health data mining
-Semantic Web techniques for multi-sourced healthcare data
-Knowledge and non-obvious relation extraction across multiple medical data sources
-Social and personalized health data mining
-Handling noisy and missing medical data
-Personal health apps, wearable and sensor data integration with traditional medical data
-Novel techniques for security and privacy of health data management and sharing
-Privacy-preserving mining techniques for healthcare data
Workshop Organizers
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Shourya Roy, Xerox India Research Centre, India
Anupam Joshi, University of Maryland, Baltimore County, USA
Sandya Mannarswamy, Xerox India Research Centre, India
Praveen Rao, University of Missouri-Kansas City, USA
Sungroh Yoon, Seoul National University, Korea
Program Committee
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Mary Brady, National Institute of Standards and Technology (NIST), USA
Sourav Bhowmick, Nanyang Technological University, Singapore
Scott Campbell, University of Nebraska Medical Center, USA
Alden Dima, National Institute of Standards and Technology (NIST), USA
Aryya Gangopadhyay, University of Maryland, Baltimore County, USA
Mark Hoffmann, University of Missouri-Kansas City, USA
Karuna Joshi, University of Maryland, Baltimore County, USA
Raghuram Krishnapuram, Xerox India Research Center, India
Satya Sahoo, Case Western Reserve University, USA
Dmitriy Shin, University of Missouri-Columbia, USA
Chi-Ren Shyu, University of Missouri-Columbia, USA
Upkar Varshney, Georgia State University, USA
Yelena Yasha, University of Maryland, Baltimore County, USA
Submission Guidelines
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A submitted paper should be of one of the following type:
1. Regular Research Paper: The paper will report original research
results with sound evaluation. It should be at most 8 pages.
2. Application Paper: The paper will present novel health data
management applications. System demonstrations will be encouraged in
this category. The paper should be at most 6 pages.
3. Position Paper: The paper will present novel research directions or
identify challenging problems. It should be at most 4 pages.
4. Case Study: The paper will present a case study from real-life
experiences of developing/deploying health data management
applications and/or challenges/issues faced. It should be at most 4
pages.
All submissions must be prepared in the IEEE camera-ready
format. Please follow the submission guidelines for the ICDE 2017
Conference. All accepted submissions will be published in the ICDE
proceedings and will also become publicly available through the IEEE Xplore.
Important Dates
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Paper submission due (new): January 31, 2017
Notification of acceptance: February 14, 2017
Camera ready copy due: February 21, 2017
Workshop date: April 22, 2017
Authors are encouraged to identify the type of submission in the title
of the paper. For example, for a position paper, the author(s) can
have the following title “Position Paper: My Position Paper for HDMM
2017.”
Submission Instructions
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Only electronic submissions in PDF format will be considered. Here is the
EasyChair submission link: https://easychair.org/conferences/?conf=hdmm2017.
Contact Information
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In case of questions, please contact Praveen Rao (raopr AT umkc DOT edu) or
Sandhya Mannarswamy (Sandya.Mannarswamy AT xerox DOT com).