ICML 2012 - ICML'12 Workshop on Machine Learning for Clinical Data Analysis

ICML'12 Workshop on Machine Learning for Clinical Data Analysis
Date: June 30 - July 1, 2012
Location: Edinburgh, Scotland
https://sites.google.com/site/mlclinicaldata/
Clinical and health-care applications have been and continue to be the source of inspiration for many areas of artificial intelligence research. Much progress in various sub-specialties of AI has been inspired by the clinical domain. A new challenge for AI in general, but machine learning in particular, arises from the wealth and variety of data generated in modern medical and health-care settings. Extensive electronic medical records ? with thousands of fields recording a patient conditions, diagnostic tests, treatments, outcomes, as well as narrative about the patient and care delivery ? provide an unprecedented source of information. Tapping into this data source can bring clues leading to improvements in a wide range of health-care applications, such as disease modeling and early detection, chronic disease management, and efficient design of clinical trials.
The purpose of this workshop is to bring together machine learning and informatics researchers interested in problems and applications in the clinical domain, with the goal of exchanging ideas and perspectives, identifying research bottlenecks and medical applications, bridging the gap between the theory of machine learning, natural language processing, and the needs of the healthcare community, and, in general, raising awareness of potential healthcare applications in the machine learning community.
We seek full paper and extended abstract submissions developing new or applying existing ML methods to clinical and health-care applications. The topics of interest include, but are not limited to:
- Mining and analysis of clinical time-series data
- Mining and analysis of clinical text data
- Knowledge discovery from electronic health records
- Disease modeling and detection
- Patient monitoring and alerting
- Patient outcome prediction
- Clinical outlier detection
- Optimization of patient-management workflows
- Design of clinical trials
- Methods for personalized medicine and care
- Integration of clinical data sources and domain knowledge
- Integration of phenotypic and genotypic data
Submission Details

The full papers submitted to the workshop should be at most eight pages long following the ICML paper format. The extended abstracts should be 1-2 pages long in the same format. The full-paper submissions will be considered and may be accepted for either an oral or a poster presentation, the extended abstracts may be accepted for the poster presentation only.
Important Dates

Paper and extended abstract submission deadline: April 30, 2012 Acceptance notification: May 18, 2012 Full papers due: June 15, 2012
Workshop: June 30 - July 1, 2012
Workshop Organization

Workshop co-chairs:
Noemie Elhadad, Columbia University
Milos Hauskrecht, University of Pittsburgh
Organizing committee:
Faisal Farooq, Siemens Healthcare
Suchi Saria, John Hopkins University
Dale Schuurmans, University of Alberta
Zeeshan Syed, University of Michigan
Csaba Szepesvari, University of Alberta
Allan Tucker, Brunel University, UK
Ozlem Uzuner, University of Albany
Shipeng Yu, Siemens Healthcare
Program Committee

Ameen Abu-Hanna, University of Amsterdam
Constantin Aliferis, New York University
Riccardo Bellazzi, University of Pavia
Gregory Cooper, University of Pittsburgh
Russ Greiner, University of Alberta
Dina Demner Fushman, National Library of Medicine
John Holmes, University of Pennsylvania
Tze-Yun Leong, National University of Singapore
Dan Lizotte, University of Waterloo
Peter Lucas, Radboud University Nijmegen
Subramani Mani, Vanderbilt University
Susan Murphy, University of Michigan
Sriraam Natarajan, Wake Forest University
David Page, University of Wisconsin
Niels Peak, University of Amsterdam
Adler Perotte, Columbia University
Pascal Poupart, University of Waterloo
Stuart Russell, University of California, Berkeley
Jeff Schneider, Carnegie Mellon University
David Sontag, New York University
Rich Sutton, University of Alberta
Shyam Viswesvaran, University of Pittsburgh
Chris Williams, University of Edinburgh
Blaz Zupan, University of Ljubljana
Contact

noemie-AT-dbmi.columbia.edu, milos-AT-pitt.edu