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HDMM 2017 : 2nd International Workshop on Health Data Management and Mining (HDMM) 2017 | |||||||||||
Link: https://sites.google.com/site/hdmm2017/ | |||||||||||
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Call For Papers | |||||||||||
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 -------------------- 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 ----------------------------- 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 --------------------------- 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 ------------------------------ 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 --------------------- 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 ----------------------------- Only electronic submissions in PDF format will be considered. Here is the EasyChair submission link: https://easychair.org/conferences/?conf=hdmm2017. Contact Information -------------------------- In case of questions, please contact Praveen Rao (raopr AT umkc DOT edu) or Sandhya Mannarswamy (Sandya.Mannarswamy AT xerox DOT com). |
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