DMMI 2015 - Workshop on Data Mining for Medical Informatics -- Predictive Analytics

Workshop on Data Mining for Medical Informatics -- Predictive Analytics (In conjunction with AMIA 2015, Nov 14th, San Francisco, CA)
Website: http://www.dmmh.org/dmmi15
*** Paper Submissions Due September 20, 2015 ***
CALL FOR PAPERS:
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Data Mining for Medical Informatics (DMMI) is a series of workshops that focus on the use of data mining techniques to address today's challenges in health informatics. The 2015 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 this year is predictive analytics, which focuses on computational techniques for predicting clinical outcomes under uncertainty, such as risk assessment, diagnosis, prognosis and treatment effects. Predictive analytical methods are currently subject to intense debate in scientific and applied communities for various reasons:
? Existing methods are geared towards clean, uniform, cross-sectional datasets and not suited for predicting from routinely-collected EHR data which are longitudinal, heterogeneous, and messy.
? Risk prediction models tend to become quickly outdated because of rapid changes in treatment regimens and populations.
? Existing methods are not suited for exploring "what if" scenarios (causal reasoning).
? There are increasing concerns over privacy risks and proper consent for data sharing.
The objectives of the 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.
TOPICS AND SCOPE:
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Topics of interests include but are not limited to:
? Discussion on different data mining techniques for predictive analytics
? Text mining for predictive analytics
? Visualizations to aid or explain predictive analytics
? Data quality assessment and improvement
? Novel architectures for large scale predictive analytics
? Pattern detection and hypothesis generation from observational data
? Privacy and security issues in predictive analytics
? Information fusion and knowledge transfer in healthcare
? Evolutionary and longitudinal patient and disease models
? Evaluation and validation of predictive analytics
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.
Paper submissions must be no more than six pages in length, inclusive of figures and references.
Papers should be formatted in AMIA format styles. Manuscripts must be submitted as Adobe Portable Document Format (PDF) files. Other file formats will not be accepted.
Full papers and abstracts must be submitted electronically through the EasyChair system at the following link: https://easychair.org/conferences/?conf=dmmi2015
IMPORTANT DATES:
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Deadline for submission: September 20th, 2015
Notification of Acceptance: October 10th, 2015
Camera-ready Papers Due: October 19th, 2015
Workshop: November 14th, 2015