Extracting BI-RADS features from Portuguese clinical texts

Houssam Nassif; Filipe Cunha; Eliana Sousa; David Page; Elizabeth Burnside; Ines Dutra

doi:10.1109/BIBM.2012.6392613

2012 IEEE International Conference on Bioinformatics and Biomedicine

Extracting BI-RADS features from Portuguese clinical texts

Year: 2012, Pages: 1-4

DOI Bookmark: 10.1109/BIBM.2012.6392613

Authors

Houssam Nassif, University of Wisconsin, Madison, USA
Filipe Cunha, AroundKnowledge, Porto, Portugal
Eliana Sousa, CIDES - Health Information and Decision Sciences, Faculty of Medicine of Universidade do Porto, Porto, Portugal
David Page, Dept. of Biostatistics and Medical Informatics, UW-Madison, USA
Elizabeth Burnside, Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, WI, USA
Ines Dutra, CRACS & INESC-TEC Department of Computer Science, Faculty of Sciences, University of Porto, Porto, Portugal

Abstract

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 BI-RADS 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.

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Extracting BI-RADS features from Portuguese clinical texts

Authors

Abstract

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