Automated annotation and classification of BI-RADS assessment from radiology reports

Journal of Biomedical Informatics(2017)

Cited 92|Views377
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Abstract
•We developed an NLP system to extract all BI-RADS categories from breast radiology reports.•We evaluate the results of existing of an NLP system using a multi-step approach.•ML classifiers can detect and assign laterality to all BI-RADS categories in a single report.
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Key words
ACR,BI-RAD,BROK,CI,CRF,cTAKES,MALLET,ML,MQSA,NB,NLP,SVMs,TIES,UIMA,WEKA
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