The purpose of this challenge is to encourage students to study and apply best knowledge discovery approaches to a real medical data mining problem. The goal is to extract knowledge from the National Ambulatory Medical Care Survey (NAMCS) data set (see description of NAMCS data).
The contributions will be judged by the IDAMAP program committee members. The winner will receive a cash award of 300 EUR and will have the opportunity to present his/her work at the IDAMAP workshop. (No funds for travel or workshop registration will be provided.)
The challenge is open to all students. Individual participants as well as groups are welcomed.
Participants are invited to report on interesting findings and knowledge obtained applying data mining approaches to the NAMCS data set. There are no restrictions on the data mining technique to be used (supervised or unsupervised learning are allowed).
The data is publicly available at: www.cdc.gov [look for NAMCS]. The data are organized by year, but there are no restrictions or requirements to use data from any specific year. The participants are free to use data from one or multiple years.
The contributions must be submitted as a written report and must include:
The entry must be formatted using the Word template for regular IDAMAP submissions (up to six pages, 4500 words, see instructions for submission in the IDAMAP call for papers). Entries must be submitted to Tomaz Curk [[email protected]] and Lucia Sacchi [[email protected]].
The extended deadline for submission is July 10, 2009. The winner will be announced by July 12, 2009.
Participants are invited to express their intention to participate in the challenge by sending an e-mail to the workshop chairs (Lucia Sacchi and Tomaz Curk).