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Supervised machine learning and active learning in classification of radiology reports
OBJECTIVE: This paper presents an automated system for classifying the results of imaging examinations (CT, MRI, positron emission tomography) into reportable and non-reportable cancer cases. This system is part of an industrial-strength processing pipeline built to extract content from radiology re...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BMJ Publishing Group
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4147614/ https://ncbi.nlm.nih.gov/pubmed/24853067 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-002516 |
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