Knowledge discovery from structured mammography reports using inductive logic programming.
Publication
, Journal Article
Burnside, ES; Davis, J; Costa, VS; Dutra, IDC; Kahn, CE; Fine, J; Page, D
Published in: AMIA Annu Symp Proc
2005
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.
Duke Scholars
Published In
AMIA Annu Symp Proc
EISSN
1942-597X
Publication Date
2005
Volume
2005
Start / End Page
96 / 100
Location
United States
Related Subject Headings
- Software
- Predictive Value of Tests
- Mammography
- Logic
- Information Storage and Retrieval
- Humans
- Feasibility Studies
- Diagnosis, Differential
- Diagnosis, Computer-Assisted
- Databases, Factual
Citation
APA
Chicago
ICMJE
MLA
NLM
Burnside, E. S., Davis, J., Costa, V. S., Dutra, I. D. C., Kahn, C. E., Fine, J., & Page, D. (2005). Knowledge discovery from structured mammography reports using inductive logic programming. AMIA Annu Symp Proc, 2005, 96–100.
Burnside, Elizabeth S., Jesse Davis, Victor Santos Costa, Inês de Castro Dutra, Charles E. Kahn, Jason Fine, and David Page. “Knowledge discovery from structured mammography reports using inductive logic programming.” AMIA Annu Symp Proc 2005 (2005): 96–100.
Burnside ES, Davis J, Costa VS, Dutra IDC, Kahn CE, Fine J, et al. Knowledge discovery from structured mammography reports using inductive logic programming. AMIA Annu Symp Proc. 2005;2005:96–100.
Burnside, Elizabeth S., et al. “Knowledge discovery from structured mammography reports using inductive logic programming.” AMIA Annu Symp Proc, vol. 2005, 2005, pp. 96–100.
Burnside ES, Davis J, Costa VS, Dutra IDC, Kahn CE, Fine J, Page D. Knowledge discovery from structured mammography reports using inductive logic programming. AMIA Annu Symp Proc. 2005;2005:96–100.
Published In
AMIA Annu Symp Proc
EISSN
1942-597X
Publication Date
2005
Volume
2005
Start / End Page
96 / 100
Location
United States
Related Subject Headings
- Software
- Predictive Value of Tests
- Mammography
- Logic
- Information Storage and Retrieval
- Humans
- Feasibility Studies
- Diagnosis, Differential
- Diagnosis, Computer-Assisted
- Databases, Factual