Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer

The purpose of our study is to identify and quantify the association between high breast mass density and breast malignancy using inductive logic programming (ILP) and conditional probabilities, and validate this association in an independent dataset. We ran our ILP algorithm on 62,219 mammographic...

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Bibliographic Details
Published in:	Journal of digital imaging Vol. 23; no. 5; pp. 554 - 561
Main Authors:	Woods, Ryan W., Oliphant, Louis, Shinki, Kazuhiko, Page, David, Shavlik, Jude, Burnside, Elizabeth
Format:	Journal Article
Language:	English
Published:	New York Springer-Verlag 01.10.2010 Springer Nature B.V
Subjects:	Abnormalities Algorithms Biopsy Breast Breast - pathology Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology Densitometry - methods Density Dependent variables Female Humans Imaging Logic programming Logistic Models Logistics Mammography Mathematical models Medicine Medicine & Public Health Predictive Value of Tests Prospective Studies Radiographic Image Interpretation, Computer-Assisted - methods Radiology Registries Regression mammography Data mining machine learning
ISSN:	0897-1889, 1618-727X, 1618-727X
Online Access:	Get full text
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