Exploitation of semantic methods to cluster pharmacovigilance terms
نویسندگان
چکیده
منابع مشابه
Exploitation of semantic methods to cluster pharmacovigilance terms
Pharmacovigilance is the activity related to the collection, analysis and prevention of adverse drug reactions (ADRs) induced by drugs. This activity is usually performed within dedicated databases (national, European, international...), in which the ADRs declared for patients are usually coded with a specific controlled terminology MedDRA (Medical Dictionary for Drug Regulatory Activities). Tr...
متن کاملInferring semantic relations between pharmacovigilance terms with the NLP methods
The surveillance of the adverse drug reaction profile and the prevention of the potential or known risk related to the use of medicine products is a core activity of pharmacovigilance. Signal detection and monitoring of identified risks benefit from traditional statistical approaches and also from qualitative information on semantic relations between close adverse drug reaction terms, such as S...
متن کاملGrouping pharmacovigilance terms with semantic distance
Pharmacovigilance is the activity related to the collection, analysis and prevention of adverse drug reactions (ADRs) induced by drugs or biologics. Besides other methods, statistical algorithms are used to detect previously unknown ADRs, and it was noted that groupings of ADR terms can further improve safety signal detection. Standardised MedDRA Queries are developed to assist retrieval and ev...
متن کاملon the comparison of keyword and semantic-context methods of learning new vocabulary meaning
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
15 صفحه اولComparison of Clustering Approaches through Their Application to Pharmacovigilance Terms
In different applications (i.e., information retrieval, filtering or analysis), it is useful to detect similar terms and to provide the possibility to use them jointly. Clustering of terms is one of the methods which can be exploited for this. In our study, we propose to test three methods dedicated to the clustering of terms (hierarchical ascendant classification, Radius and maximum), to combi...
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ژورنال
عنوان ژورنال: Journal of Biomedical Semantics
سال: 2014
ISSN: 2041-1480
DOI: 10.1186/2041-1480-5-18