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Orientador(es)
Resumo(s)
In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on the BIRADS lexicon and on iterative transferred expert knowledge. We compare the performance of our algorithm to manual annotation by a specialist in mammography. Our results show that our parser's performance is comparable to the manual method.
Descrição
Palavras-chave
Feature extraction Breast cancer BI-RADS descriptors
Contexto Educativo
Citação
Nassif, H., Cunha, F., Moreira, I. C., Cruz-Correia, R., Sousa, E., Page, D., Burnside, E., & Dutra, I. (2012). Extracting BI-RADS Features from Portuguese Clinical Texts. International Conference Bioinformatics Biomed, 1–4. https://doi.org/10.1109/BIBM.2012.6392613
Editora
Institute of electrical and electronics engineers