[PDF][PDF] An optimization approach to the study of drug-reaction relationships on the basis of adrac dataset: Neurological class of reactions

M Mammadov, E Dekker… - Proc. of The Sixth …, 2004 - researchgate.net
Proc. of The Sixth International Conference on Optimization …, 2004researchgate.net
Multi-label classification is an important and difficult problem that frequently arises in text
categorization. The accurate identification of drugs which are responsible for reactions that
have occurred is one of the important problems of adverse drug reactions (ADR). In this
paper we consider the similarities of these two problems and analyze the usefulness of drug
reaction relationships for the prediction of possible reactions that may occur. We also
introduce a new method for the determination of responsibility for subsets of drug (s), out of …
Abstract
Multi-label classification is an important and difficult problem that frequently arises in text categorization. The accurate identification of drugs which are responsible for reactions that have occurred is one of the important problems of adverse drug reactions (ADR). In this paper we consider the similarities of these two problems and analyze the usefulness of drug reaction relationships for the prediction of possible reactions that may occur. We also introduce a new method for the determination of responsibility for subsets of drug (s), out of all drugs taken by a particular patient, in reactions that have been observed. This method is applied for the evaluation of the level of correctness of suspected drugs reported in Neurological type reactions in the ADRAC database. The problem of interaction of drugs is also considered.
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