DMMH 2013 - 2nd Workshop on Data Mining for Medicine and Healthcare

In virtually every country, the cost of healthcare is increasing more rapidly than the willingness and the ability to pay for it. At the same time, more and more data is being captured around healthcare processes in the form of Electronic Health Records (EHR), health insurance claims, medical imaging databases, disease registries, spontaneous reporting sites, and clinical trials. As a result, data mining has become critical to the healthcare world. On the one hand, EHR offers the data that gets data miners excited, however on the other hand, is accompanied with challenges such as 1) the unavailability of large sources of data to academic researchers, and 2) limited access to data-mining experts. Healthcare entities are reluctant to release their internal data to academic researchers and in most cases there is limited interaction between industry practitioners and academic researchers working on related problems.
The objectives of this workshop are:
Bring together researchers (from both academia and industry) as well as practitioners to present their latest problems and ideas.
Attract healthcare providers who have access to interesting sources of data and problems but lack the expertise in data mining to use the data effectively.
Enhance interactions between data mining, text mining and visual analytics communities working on problems from medicine and healthcare.
Topics of Interest
In addition to the more classical data mining approaches, this workshop aims to include two new topic fields ? i.e. visual analytics and text mining in medicine and healthcare. By this extension, we aim to foster interactions among multiple communities that work at the intersections of data mining, medicine and healthcare.
Topic areas for the workshop include (but are not limited to) the following:
Statistical analysis and characterization of healthcare data
Text mining - mining free text in electronic medical records
Visual analysis and exploration of longitudinal clinical trial data
Meaningful use of healthcare data for improved patient care and cost-reduction
Data quality assessment and improvement: preprocessing, cleaning, missing data treatment etc.
Pattern detection and hypothesis generation from observational data
Visualization of prescriptions drugs and interactions
Privacy and security issues in healthcare
Information fusion and knowledge transfer in healthcare
Evolutionary and longitudinal patient and disease models
Medical fraud detection
Help with ICD 9 to ICD 10 conversions
Health Information exchanges
Workshop Chairs
David Gotz, IBM T.J. Watson Research Center
Nigam Shah, Stanford University
Gregor Stiglic, University of Maribor / Temple University
Fei Wang, IBM T.J. Watson Research Center
Note: for inquiries please send e-mail to gregor.stiglic-AT-um.si and fwang-AT-us.ibm.com
Program Committee
TBA
Important Dates
Paper Submission: January 7, 2013
Notification of Acceptance: January 25, 2013
Camera Ready Paper Due: February 6, 2013
Workshop: May 4, 2013
Submission Information
All submissions must be made electronically at: https://www.easychair.org/conferences/?conf=sdmdmm...
Papers submitted to this workshop must not have been accepted or be under review by another conference with a published proceedings or by a journal. The work may be either theoretical or applied.
The workshop accepts short (4-6 pages) and long papers (up to 9 pages) with US Letter (8.5" x 11") paper size (single-spaced, 2 column, 10 point font, and at least 1" margin on each side). Papers must have an abstract with a maximum of 300 words and a keyword list with no more than 6 keywords.
We would like to encourage you to prepare your paper in LaTeX2e. Papers should be formatted using the SIAM SODA macro, which is available through the SIAM website. You can access it at http://www.siam.org/proceedings/macros.php. The filename is soda2e.all. Make sure you use the macros for SODA and Data Mining Proceedings; papers prepared using other proceedings macros will not be accepted.
For Microsoft Word users, please convert your document to the PDF format. Since there is no Microsoft Word Template, please visit http://www.siam.org/proceedings/ to view the format on previous papers.
All submissions should clearly present the author information including the names of the authors, the affiliations and the emails.
Workshop Schedule
TBA
Invited Speakers
Nitesh Chawla, University of Notre Dame
Joydeep Ghosh, University of Texas at Austin
Marc Suchard, University of California, Los Angeles
Jimeng Sun, IBM T.J. Watson Research Center
Previous Edition of the Workshop
First Workshop on Data Mining in Medicine and Healthcare was organized at KDD 2011 conference in San Diego, CA. The workshop was implemented as a full-day workshop with 2 invited speakers, 6 full papers and 4 short papers.
Keynote lectures and the panel are available at http://videolectures.net/datamining2011_san_diego/.