Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000.
Krystyna MilianZharko AleksovskiRichard VdovjakAnnette ten TeijeFrank van HarmelenPublished in: KR4HC (2009)
Keyphrases
- snomed ct
- breast cancer
- breast cancer patients
- description logics
- cancer patients
- breast cancer diagnosis
- disease progression
- diagnosis of breast cancer
- early detection
- logistic regression
- computer aided diagnosis
- computer aided detection
- bladder cancer
- survival analysis
- cancer treatment
- mammogram images
- breast cancer detection
- low grade
- medical diagnosis
- semi automatic
- prognostic factors
- data mining and statistical
- medical terminology
- image analysis
- natural language