Breast cancer diagnosis: a statistical analysis-based approach Online publication date: Tue, 28-Jan-2014
by Duo Zhou; Dinesh P. Mital; Shankar Srinivasan
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 5, No. 4, 2013
Abstract: The capability of automatic recognition of data patterns has made machine learning very popular in modern science. Well, in clinical settings, the goal is not to find a function that most closely fits the data, but to find one that will most accurately predict outcome from future input. A new field, statistical learning, a framework for machine learning by combining statistics and functional analysis, has become more promising. In this paper, a field study on breast cancer diagnosis was performed to evaluate a variety of statistical learning techniques.
Online publication date: Tue, 28-Jan-2014
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