Breast cancer identification-Reference-Cited by-同舟云学术

Breast cancer identification

Published:2008-12-20 Issue:2 Volume:10 Page:39-42
ISSN:1931-0145
Container-title:ACM SIGKDD Explorations Newsletter
language:en
Short-container-title:SIGKDD Explor. Newsl.

Author:

Perlich Claudia¹,Melville Prem¹,Liu Yan¹,Świrszcz Grzegorz¹,Lawrence Richard¹,Rosset Saharon²

Affiliation:

1. IBM T.J. Watson Research Center, Yorktown Heights, NY

2. Tel Aviv University, Israel

Abstract

We describe the ideas and methodologies that we developed in addressing the KDD Cup 2008 on early breast cancer detection, and discuss how they contributed to our success. The most important components of our solution were 1) the identification of predictive information in the patient identifier, 2) a linear SVM on the 117 provided features, and 3) a heuristic post-processing approach to optimize the evaluation criteria.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/1540276.1540289

Reference6 articles.

1. KDD-Cup 2000

2. A support vector method for multivariate performance measures

3. Making the most of your data

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