Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
The safety of usage of medicines have been a focus of attention to ensure medical safety by right use of right medicines. Though usage regimen, which shows the information about proper usage, is described in package inserts of the medicine as an official document, it is insufficent to utilize this information for the prevention of medical accidents. In fact, the data in package inserts are described in sentences, not in table as structured data. In order to extract information of dosage regimen from package insert data, we have to leverage natural language techniques. Authors have proposed a `word-link' method to find common sentence structures embedded in large number of (short) documents. In this study, we apply the extended version of our method to find the structures of information contained in dosage regimen description. The result will help to define the data schema of dosage database.
