On behalf of the Organizing Committee, we are very pleased to invite you
to participate in the fifth annual Meaningful Use of Complex Medical
Data Symposium (MUCMD) to be held from August 7-8, 2015 in Los Angeles,
California. Registration is currently open, and we are accepting
abstracts and papers for presentation at the symposium.

Papers submitted will be considered for publication in a special topic
of the Journal of Machine Learning Research or as an abstract in the
Journal of Critical Care.

Websites:
* Symposium: http://www.mucmd.org/
* Registration: http://mucmd2015.eventbrite.com/
* Paper Submission: https://cmt.research.microsoft.com/MUCMD2015/

Important Dates:
* May 15,  2015: Paper and abstract submission (11:59pm Pacific time)
* Jun 12,  2015: Acceptance notification.
* Jul  1,  2015: Early bird registration deadline.
* Aug 7-8, 2015: MUCMD 2015 Symposium.

About MUCMD: MUCMD is an annual research meeting that brings together
artificial intelligence and machine learning researchers, data
engineers, experts on big data, healthcare providers, and medical
researchers in a uniquely interactive cross-disciplinary venue. MUCMD
supports the advancement of data analytics, knowledge discovery, and
meaningful use of complex medical data by fostering collaborations and
the exchange of ideas between members of these diverse communities.

Subject Areas: MUCMD encourages contributions that touch on two or more
core areas including Methodology and Computing Infrastructure; Medical
and Health Data; Analysis, Modeling, and Decision Support; and Practice.
Specific sub-areas of interest are listed below. Contributions are
accepted in several forms including abstracts (1 page), short papers (up
to 4 pages), and long papers (up to 8 pages). Contributed work will be
considered for presentation as either a poster or a talk.

Methodology and Computing Infrastructure
* Algorithms for Big Data
* Causal Inference
* High-performance and Cloud Computing
* Data Mining
* Data Visualization
* Image Processing and Computer Vision
* Machine Learning
* Natural Language Processing
* Open Source Software
* Statistics

Medical and Health Data
* Electronic Health Records Data
* Medical Images and Radiology Data
* Public Health Data
* Mobile and Environmental Health Sensing
* Health Data Privacy, Anonymization and Security
* Quality of Medical and Health Data
* Sharing of Medical and Health Data

Analysis, Modeling, and Decision Support
* Biosurveillance
* Clinical Decision Support
* Comparative Effectiveness
* Disease Modeling
* EHR Data Analysis
* Medical Image Analysis
* Patient Safety
* Phenotype Discovery
* Risk Stratification

Practice
* Evidence-Based Medicine
* Personalized Medicine

MUCMD 2015 Organizing Committee:
* Curtis Kennedy, MD, Baylor College of Medicine
* Christian Shelton, Ph.D. University of California, Riverside
* Randall Wetzel, MD. Children's Hospital LA

Sincerely,
Curtis Kennedy and Christian Shelton
MUCMD 2015 Co-Chairs
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