DMMH 2014 - 3rd Workshop on Data Mining for Medicine and Healthcare

3rd Workshop on Data Mining for Medicine and Healthcare
To be held in conjunction with 14th SIAM International Conference on Data Mining (SDM 2014)
April 26, 2014
Philadelphia, PA, USA
http://www.dmmh.org/
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Important dates
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Paper Submission: December 22, 2013
Notification of Acceptance: January 15, 2014
Camera Ready Paper Due: January 23, 2014
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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, it 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:
1. Bring together researchers (from both academia and industry) as well as practitioners to present their latest problems and ideas.
2. 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.
3. Enhance interactions between data mining, text mining and visual analytics communities working on problems from medicine and healthcare.
Workshop topics:
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
- Hospital readmission analytics
- Help with ICD 9 to ICD 10 conversions
- Health Information exchanges
Paper submission and reviewing will be handled electronically. Authors should consult the workshop Web site for full details regarding paper preparation and submission guidelines.
**Selected papers from the workshop will be invited to submit to a special issue of the Springer's DMKD Journal (SCI impact factor: 2.877)**
Workshop Chairs:
Nitesh Chawla, University of Notre Dame
Gregor Stiglic, University of Maribor
Fei Wang, IBM T.J. Watson Research Center
Publicity Chair:
Ping Zhang, IBM T.J. Watson Research Center
Proceedings Chair:
Xiang Wang, IBM T.J. Watson Research Center