On behalf of the Organizing Committee, I am very pleased to invite you
to participate in the fourth annual Meaningful Use of Complex Medical
Data Symposium (MUCMD) to be held from August 8-9, 2014 in Los Angeles,
California. Registration is currently open, and we are accepting
abstracts and papers for presentation at the symposium. This year, MUCMD
is partnering with the Journal of Medical Systems to publish selected
best papers from the Symposium.
Websites:
* Symposium: http://www.mucmd.org/
* Registration: http://mucmd.eventbrite.com/
* Paper Submission: https://cmt.research.microsoft.com/MUCMD2014/
Important Dates:
* May 5, 2014: Paper and abstract submission (11:59pm Pacific time)
* Jun 2, 2014: Acceptance notification.
* Jul 1, 2014: Early bird registration deadline.
* Aug 8-9, 2014: MUCMD 2014 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 2014 Co-Chairs:
* Jesse Ehrenfeld, MD, MPH Vanderbilt University Medical Center
* Benjamin Marlin, Ph.D. UMass Amherst, School of Computer Science
MUCMD 2014 Organizing Committee:
* Carla Brodley, Ph.D. Tufts University, Department of Computer Science
* James Fackler, MD. Johns Hopkins University School of Medicine
* Yolanda Gil, Ph.D. USC, Information Sciences Institute
* John Guttag, Ph.D. MIT, CSAIL
* Chris Mattmann, Ph.D. NASA JPL and USC Computer Science
* Warren Sandberg, MD, Ph.D. Vanderbilt University Medical Center
* Peter Szolovits, Ph.D. MIT CSAIL
* Randall Wetzel, MD. Children's Hospital LA
Sincerely,
Benjamin Marlin and Jesse Ehrenfeld
MUCMD 2014 Co-Chairs
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