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1.	Eklund, Patrik, et al. (författare) Rough monadic interpretations of pharmacologic information 2007 Ingår i: ICCS 2007. - London : Springer. - 9781846289903 - 9781846289927 ; , s. 108-113 Konferensbidrag (refereegranskat)abstract Public databases for pharmacological information provide rich and complete information for therapeutic requirements. In particular, the ATe code with its unique identification of drug compound is the basis e.g. of modelling of drug interactions. Therapeutic decisions are frequently faced with needs to consider not just drug-drug interactions but also drugs interacting with sets of drugs and even sets of medical conditions. The typing of interactions provides an additional complication as this is an entrance towards management of uncertainties concerning interactions. The hierarchical structure of pharmacological information and its intrinsic uncertainties are in this paper used as an information platformfor the demonstration of the power of rough set modelling. Rough sets in a more general functorial view involving partially ordered monads are able to capture interactionswith respect to different granularities in the information hierarchy.

Eklund, Patrik, et al. (författare)
Rough monadic interpretations of pharmacologic information
2007
Ingår i: ICCS 2007. - London : Springer. - 9781846289903 - 9781846289927 ; , s. 108-113
Konferensbidrag (refereegranskat)abstract
- Public databases for pharmacological information provide rich and complete information for therapeutic requirements. In particular, the ATe code with its unique identification of drug compound is the basis e.g. of modelling of drug interactions. Therapeutic decisions are frequently faced with needs to consider not just drug-drug interactions but also drugs interacting with sets of drugs and even sets of medical conditions. The typing of interactions provides an additional complication as this is an entrance towards management of uncertainties concerning interactions. The hierarchical structure of pharmacological information and its intrinsic uncertainties are in this paper used as an information platformfor the demonstration of the power of rough set modelling. Rough sets in a more general functorial view involving partially ordered monads are able to capture interactionswith respect to different granularities in the information hierarchy.

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