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BMCBI
2006

Automated recognition of malignancy mentions in biomedical literature

11 years 11 months ago
Automated recognition of malignancy mentions in biomedical literature
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of interest. Automated information extraction procedures can assist in the acquisition and management of this knowledge. Previous efforts in biomedical text mining have focused primarily upon named entity recognition of well-defined molecular objects such as genes, but less work has been performed to identify disease-related objects and concepts. Furthermore, promise has been tempered by an inability to efficiently scale approaches in ways that minimize manual efforts and still perform with high accuracy. Here, we have applied a machine-learning approach previously successful for identifying molecular entities to a disease concept to determine if the underlying probabilistic model effectively generalizes to unrelated concepts with minimal manual intervention for model retraining. Results: We developed a named en...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A.
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where BMCBI
Authors Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. Mandel, Steven Carroll, Mark Y. Liberman, Fernando C. Pereira, Raymond S. Winters, Peter S. White
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