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On the medical frontier: the 2006 KDD Cup competition and results

Published: 01 December 2006 Publication History

Abstract

The 2006 KDD Cup Competition featured three data mining tasks drawn from a medical imaging domain. At the core, all of these tasks were concerned with identifying pulmonary embolisms (PEs) from pre-processed computed tomography (CT) images of human lungs. However, these tasks were complicated by features such as multi-instance learning, stringent performance standards, hard-threshold evaluation functions, spatial correlations, and small training sets. This paper gives an overview of the data and medical imaging tasks, the competition and evaluation, and the competition victors.

References

[1]
M. C. Burl, L. Asker, P. Smyth, U. Fayyad, P. Perona, L. Crumpler, and J. Aubele. Learning to recognize volcanoes on venus. Machine Learning, 30(2-3):165--194, February 1998.
[2]
C. Fried and J. Handler. Pulmonary embolism. http://www.emedicine.com. Accessed Oct 25, 2006.
[3]
T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, 2001.
[4]
T. Lane, B. Rao, J. Bi, and M. Salganicoff. 2006 KDD Cup task: Computer aided detection of pulmonary embolism. http://www.cs.unm.edu/files/kdd-cup-2006-task-spec-final.pdf, October 2006.

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  • (2012)A mechanism to explain the spectrum of Hessdalen Lights phenomenonMeteorology and Atmospheric Physics10.1007/s00703-012-0197-5117:1-2(1-4)Online publication date: 26-May-2012

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Published In

cover image ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter  Volume 8, Issue 2
December 2006
106 pages
ISSN:1931-0145
EISSN:1931-0153
DOI:10.1145/1233321
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2006
Published in SIGKDD Volume 8, Issue 2

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Cited By

View all
  • (2019)Support vector algorithms for optimizing the partial area under the roc curveNeural Computation10.1162/NECO_a_0097229:7(1919-1963)Online publication date: 5-Jan-2019
  • (2012)A mechanism to explain the spectrum of Hessdalen Lights phenomenonMeteorology and Atmospheric Physics10.1007/s00703-012-0197-5117:1-2(1-4)Online publication date: 26-May-2012

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