Our presentation in IDEAL 2008

Tomorrow we will be presenting our paper in IDEAL 2008. We finished the presentation the other day and I've uploaded it to SlideShare in order to share it with you

Presentación en IDEAL 2008

(tags: metamap umls)

Data Mining Competition: Discovering Knowledge in NHANES Data

The Knowledge Discovery and Data Mining Working Group of the American Medical Information Association (AMIA) is announcing its second annual data mining competition for the purpose of studying best practices related to knowledge discovery in health care data. This year’s data set is the National Health and Nutrition Examination Survey (NHANES). This is a juried, international data mining competition open to students of any subject or discipline. Four winning individuals or teams will be invited to present their results at the AMIA 2008 Annual Symposium. (No funds for travel or Symposium registration will be provided). Final submissions for the competition are due to the moderator by midnight, September 15, 2008, MDT. Winners of the contest will be invited to present their work at the AMIA Annual Symposium in a panel sponsored by the Knowledge Discovery and Data Mining Working Group. Winners will be selected and recognized by an international panel of judges associated with the KDDM-WG. Please visit http://www.amia.org/mbrcenter/wg/kddm/contest.asp for more details.

Eligibility

This contest is open to student members of the American Medical Informatics Association, planning to attend the AMIA 2008 Annual Symposium. However, students may hail from any subject or discipline. For information on joining AMIA, please visit: http://www.amia.org/mbrcenter/mbrshp/ . The work can be completed by an individual or group, but only one individual will present at the symposium for a winning team.

Participation in the Contest

As a contestant, you are invited to produce meaningful information/ knowledge with knowledge discovery or data mining approaches of your choice, using the publicly available National Health and Nutrition Examination Survey (NHANES) data. The data itself is publicly accessible, and available here: http://www.cdc.gov/nchs/nhanes.htm. The latest data release (as of this announcement) is 2005-2006, but there is no restriction on the specific data release to be used, and entries may utilize multiple data releases. A wide variety of data mining approaches are acceptable, including both supervised and unsupervised learning and the extraction of temporal association and precedence rules. Both applied and methodological entries are appropriate. Final submissions for the competition are due to the moderator by midnight, September 15, 2008, MDT (U.S. Mountain Daylight Time). Winners will be selected and recognized by an international panel of judges associated with the KDDM-WG. Winners of the contest will be invited to present their work at the AMIA Annual Symposium in a dedicated session. (No funds for travel or registration will be provided).

Contest Entry

Entries should consist of the following:

1. A written report (paper), not to exceed a maximum of five (8.5 x 11 inch) pages, including:
   • An abstract of 125 - 150 words
   • Names, academic degree(s), affiliations, and locations (city, state, and country, if international) of all authors (advisers should be added as authors).
   • Content could include sections of introduction, methods, results, discussion, and conclusion, but is left to author discretion.
   • See the Submission Template (MS Word) for correct format. The (pdf) may be helpful.
2. Name and address of student's training education program
3. Advisor's name and contact information
4. A joint statement, signed by the student and the advisor, that identifies the student's specific contribution to the work presented, and attests that the studend prepared the paper.

Submission

Entries must be submitted as .doc or .pdf files. Submit entry to the contest moderator via e-mail: mollie.poynton@nurs.utah.edu. The deadline is midnight, September 15, 2008, MDT.

Useful Links

• National Health and Nutrition Examination Survey (NHANES)
• American Medical Informatics Association, Knowledge Discovery and Data Mining Working Group
• 2007 Data Mining Competition, Winning Entries

Automated Microarray Classification Challenge

The diagnosis of cancer on the basis of gene expression profiles is well established, so much so that micro-array classification has become one of the classic applications of machine learning in
computational biology. The field has now reached the stage where a large scale evaluation exercise is warranted to determine the advantages and disadvantages of competing approaches. We have therefore organized a challenge for ICMLA'08, the aim of which is to determine the best fully automated approach to micro-array classification. An unusual feature of the competition is that instead of submitting predictions on test cases, the competitors submit a MATLAB implementation of their algorithm (R and Java interfaces are also in development), which is then tested off-line by the challenge organizers. This will test the true operational value of the method, in the hands of an end user who is not necessarily an expert in a given technique. The winner of the challenge will receive a free registration to ICMLA'08.

Further details and background information regarding the competition are available from the challenge website, http://theoval.cmp.uea.ac.uk/~gcc/projects/amcc. If you have any questions, please feel free to contact the challenge organizers (g...@cmp.uea.ac.uk).

The results of the challenge will be presented at a special session at ICMLA'08. Competitors are encouraged to participate in the special session and are invited to submit a technical paper describing their technique. Submissions should be made electronically in PDF format using the central ICMLA'08 website. The deadline for submissions is June 15, 2008. All accepted papers must be presented by one of the authors in order to be published in the conference proceeding.

Important Dates

Challenge opens March 10, 2008
Challenge closes Julu 15, 2008
Paper submission due July 15, 2008
Notification of acceptance September 1,
2008
Camera-ready papers & pre-registration October 1, 2008
ICMLA'08 conference December 11-13, 2008

Special Session Chair

Dr Wenjia Wang, University of East Anglia, Norwich, U.K.

Special Session Organizers

Dr Gavin Cawley, University of East Anglia, Norwich, U.K.
Dr Wenjia Wang, University of East Anglia, Norwich, U.K.
Mr Geoffrey Guile, University of East Anglia, Norwich, U.K.

KDD Cup 2008 and Workshop on Mining Medical Data

KDD Cup is the first and the oldest data mining competition, and is an integral part of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Based on data provided by Siemens Medical Solutions USA, this year's KDD Cup competition focuses on the early detection of breast cancer from X-ray images of the breast. We are looking forward to an interesting competition and your participation. We particularly encourage the participation of students.

There are 2 different parallel options for participating:

1. Submit entries to the KDD Cup competition
2. Paper submissions for the associated Workshop on MiningMedical Data

Further details on each option are provided below.

KDD Cup 2008

Siemens Medical Solutions is proud to provide the data for the KDD Cup 2008 competition. The competition focuses on the early detection of breast cancer from X-ray images of the breast. There are two specific tasks, selected to be interesting to participants from academia and industry. The tasks are described in detail at www.kddcup2008.com. You can choose to compete in either or both of the tasks. The training data can be downloaded after April 3, 2008. Important dates are listed below.

April 1 Web site up. Registration opens
April 3 Training data and evaluation code available after login
June 2 Test data available for download after login
June 20 Registration for KDD Cup closes
July 7 Last date for submission of results on test set
July 15 Notification of KDD Cup competition results
July 31 Winners submit their camera ready papers to the workshop
August 24-27 Winners present their work at the workshop.


Workshop on Mining Medical Data

We invite the submission of papers related to mining medical data. Participants in the KDD Cup 2008 may optionally submit papers to this workshop describing their entry. However, the workshop is broader in scope, and we also welcome other submissions related to the mining of
medical data from structured sources such as structured databases and from unstructured data sources such as medical images, textual notes, etc. We particularly invite papers describing systems that are able to combine all available patient information whether from structured sources or from unstructured sources, to support medical decision making.

All submitted papers will be evaluated by the workshop program committee based on scientific merits and novelty as perceived by the committee. Accepted papers will appear in the workshop proceedings. Authors of the accepted papers are required to present their papers at the workshop. Depending on interest, a subset of the selected papers may also be published in a special issue of a journal later on. Important dates are listed below.

All submitted papers must be in PDF format, must be restricted to 4 pages, and must use the template found at http://www.acm.org/sigs/publications/proceedings-templates.

July 7 Last date for submitting papers for the workshop
July 28 Author Notification about Accepted papers
July 31 Final Camera ready papers due
August 24-27 Authors of accepted papers present their work.