Friday November 12, 2010
A one-day colloquium in Washington, DC in conjunction with the 2010 Annual Symposium of the American Medical informatics Association
Kirk T. Phillips and Stephen Swift (chairs)

Organized in collaboration with Intelligent Data Analysis and Data Mining Working Group of the International Medical Informatics Association, and Knowledge Discovery & Data Mining Working Group of the American Medical Informatics Association

The IDAMAP series is devoted to computational methods for data analysis in medicine, biology and pharmacology that present results of analysis in the form communicable to domain experts and that somehow exploit knowledge of the problem domain. Such knowledge may be available at different stages of the data-analysis and model-building process. Typical methods include data visualization, data exploration, machine learning, and data mining.

Gathering in an informal setting, colloquium participants will have the opportunity to meet and discuss selected technical topics in an atmosphere which fosters the active exchange of ideas among researchers and practitioners. The colloquium is intended to be a genuinely interactive event and not a mini-conference, thus ample time will be allotted for general discussion. A student challenge on data integration will be organized. Author of the best solution will be invited to present the work at the workshop.

A selection of revised and expanded IDAMAP 2010 papers will appear in the Methods of Information in Medicine journal.