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Year: 2007Adobe Acrobat Reader
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LHNCBC-2007-040
From Indexing the Biomedical Literature to Coding Clinical Text: Experience with MTI and Machine Learning Approaches
Aronson AR, Bodenreider O, Demner-Fushman D, Fung KW, Lee VK, Mork JG, Neveol A, Peters L, Rogers WJ
Proc. 2007 Workshop on Biomedical Natural Language Processing (BioNL'07), June 2007, pp. 105-112, Prague, Czech Republic.
This paper describes the application of an ensemble of indexing and classification systems, which have been shown to be successful in information retrieval and classification of medical literature, to a new task of assigning ICD-9-CM codes to the clinical history and impression sections of radiology reports. The basic methods used are: a modification of the NLM Medical Text Indexer system, SVM, k-NN and a simple pattern-matching method. The basic methods are combined using a variant of stacking. Evaluated in the context of a Medical NLP Challenge, fusion produced an F-score of 0.85 on the Challenge test set, which is considerably above the mean Challenge F-score of 0.77 for 44 participating groups.
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