DMMI 2014 - Workshop on Data Mining for Medical Informatics - Electronic Phenotyping

The 2014 Workshop on Data Mining for Medical Informatics provides an opportunity for participants to discuss state-of-the-art data mining techniques and review how such techniques can be applied to clinical data. The main theme we identified this year is electronic phenotyping, which aims to define inclusion and exclusion criteria that algorithmically select sets of patients based on stored clinical data. This is a broad topic and there has been a lot of interests and debating on it recently. The objectives of this workshop are:
? Bring together researchers (from both academia and industry) as well as practitioners to present their experience 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 and medical informatics communities working on problems from medicine and healthcare.
This year's DMMI workshop will be co-located with the 2014 American Medical Informatics Association (AMIA) Annual Symposium.
TOPICS AND SCOPE:
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Topics of interests include but are not limited to:
? Discuss different data mining techniques for electronic phenotyping
? Text mining - mining free text in electronic medical records
? Visual analytics for high throughput phenotype discovery
? Novel architectures for facilitating high-throughput electronic phenotyping
? Cost-benefit analyses of electronic phenotype identification
? Data quality assessment and improvement
? Pattern detection and hypothesis generation from observational data
? Privacy and security issues in healthcare
? Information fusion and knowledge transfer in healthcare
? Evolutionary and longitudinal patient and disease models
? Evaluation and validation of electronic phenotypes
PAPER SUBMISSION AND FORMAT GUIDELINES:
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We encourage a diverse range of submissions and demonstrations from academic, healthcare organizations, and industry that addresses any of the topics listed above. Submissions can be for (1) paper / podium presentations, or (2) poster presentations.
- Paper: Papers must be no more than six pages in length, inclusive of figures and references. Papers should be formatted in AMIA format style. Manuscripts must be submitted as Adobe Portable Document Format (PDF) files. Other file formats will not be accepted.
- Poster: Poster abstract submissions are limited to two pages.
Submission website: http://www.dmmh.org/dmmi14
IMPORTANT DATES:
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Deadline for submission: August 31st, 2014
Notification of Acceptance: September 25th, 2014
Camera-ready Papers Due: October 10th, 2014
Workshop: November 15th or 16th, 2014
WORKSHOP ORGANIZERS:
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Niels Peek, University of Manchester. U.K.
Nigam Shah, Stanford University. U.S.A.
Gregor Stiglic, University of Maribor. Slovenia.
Fei Wang, IBM T.J. Watson Research Center. U.S.A.