Title

Application of K-nearest neighbors algorithm on breast cancer diagnosis problem.

Publication Type

Conference Proceeding Article

Publication Date

1-2000

Abstract

This paper addresses the Breast Cancer diagnosis problem as a pattern classification problem. Specifically, this problem is studied using the Wisconsin-Madison Breast Cancer data set. The K-nearest neighbors algorithm is employed as the classifier. Conceptually and implementation-wise, the K-nearest neighbors algorithm is simpler than the other techniques that have been applied to this problem. In addition, the Knearest neighbors algorithm produces the overall classification result 1.17% better than the best result known for this problem.

Discipline

Health Information Technology | Theory and Algorithms

Research Areas

Intelligent Systems and Decision Analytics

Publication

Proceedings of American Medical Informatics Association Annual Fall Symposium (AMIA)

First Page

759

Last Page

763

City or Country

Los Angeles, CA, USA

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