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...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 21; no. 5; pp. 893 - 902 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Sep2014
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| Acceso en línea: | Ver este registro en EBSCOhost |