Treffer: Specifying adverse drug reactions by formulating contexts through CLARIT processing of medical abstracts
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The CLARIT system encompasses a package of modules that can be used for information retrieval and thesaurus building. Full-text databases can be analysed at the level of linguistic structures (e. g. noun phrases); query over such analyzed data are treated as document-space vectors, giving partial fits to documents. Retrieved documents can be ranked in order of best fit. Retrieved documents can also be selectively fed back for a refined search, or used to produce a topical first-order thesaurus (Evans at al. 1991). In this letter case, the resulting thesaurus can be produced at any level of specificity (Evans & Lefferts 1994). In this study we use CLARIT as an analytical tool to provide insight in a specific research question, vis., What is the role of adverse drug reactions (ADRs) in biomedical research? . The work is framed by two assumtions. The first assumption is that ADRs are context dependent. The second assumption is based on observations in the theoretical and experimental work of Swanson (Swanson 1990).