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A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories
This study examines the effectiveness of state-of-the-art supervised machine learning methods in conjunction with different feature types for the task of automatic annotation of fragments of clinical text based on codebooks with a large number of categories. We used a collection of motivational inte...
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| Gepubliceerd in: | J Biomed Inform |
|---|---|
| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4987168/ https://ncbi.nlm.nih.gov/pubmed/27185608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2016.05.004 |
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