Knowledge discovery from structured mammography reports using inductive logic programming.

Published

Journal Article

The development of large mammography databases provides an opportunity for knowledge discovery and data mining techniques to recognize patterns not previously appreciated. Using a database from a breast imaging practice containing patient risk factors, imaging findings, and biopsy results, we tested whether inductive logic programming (ILP) could discover interesting hypotheses that could subsequently be tested and validated. The ILP algorithm discovered two hypotheses from the data that were 1) judged as interesting by a subspecialty trained mammographer and 2) validated by analysis of the data itself.

Full Text

Duke Authors

Cited Authors

  • Burnside, ES; Davis, J; Costa, VS; Dutra, IDC; Kahn, CE; Fine, J; Page, D

Published Date

  • 2005

Published In

Start / End Page

  • 96 - 100

PubMed ID

  • 16779009

Pubmed Central ID

  • 16779009

Electronic International Standard Serial Number (EISSN)

  • 1942-597X

Language

  • eng

Conference Location

  • United States