Qi Li, Haijun Zhai, Louise Deléger, T. Lingren, M. Kaiser, Laura Stoutenborough, I. Solti
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Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach
The goal of this work is to evaluate binary classification and sequence labeling methods for medication-attribute linkage detection in two clinical corpora. The results show that with parsimonious feature sets both the Support Vector Machine (SVM)-based binary classification and Conditional Random Field (CRF)-based multi-layered sequence labeling methods are achieving high performance.
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