Related Experiment Videos
Combining contextual and lexical features to classify UMLS concepts
1Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Abstract:
Semantic classification is important for biomedical terminologies and the many applications that depend on them. Previously we developed two classifiers for 8 broad clinically relevant classes to reclassify and validate UMLS concepts. We found them to be complementary, and then combined them using a manual approach. In this paper, we extended the classifiers by adding an "other" class to categorize concepts not belonging to any of the 8 classes. In addition, we focused on automating the method for combining the two classifiers by training a meta-classifier that performs dynamic combination to exploit the strength of each classifier. The automated method performed as well as manual combination, achieving classification accuracy of about 0.81.
Related Concept Videos
Concepts and Prototypes
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
Natural and Artificial Concepts
Classification of Leukocytes
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
Components of Language
Classification of Systems-II
Aggregates Classification
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...