Abstract
The orphan drug certification process from the European committee is depending on experts opinions that it is not similar to any other drug, this stage is very complicated and those opinions differ based on the expertise. So, this paper introduces computational model that gives one accurate probability of similarity, using multiple fingerprints measurements to similarity, and fuse these measurements by data fusion rules, that give one probability of similarity helping experts to determine that drug is similar to existing anyone or not.
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Zein, M., Abdo, A., Adl, A., Hassanien, A.E., Tolba, M.F., Snášel, V. (2014). Orphan Drug Legislation with Data Fusion Rules Using Multiple Fingerprints Measurements. In: Kömer, P., Abraham, A., Snášel, V. (eds) Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014. Advances in Intelligent Systems and Computing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-08156-4_26
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DOI: https://doi.org/10.1007/978-3-319-08156-4_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08155-7
Online ISBN: 978-3-319-08156-4
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