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Orphan Drug Legislation with Data Fusion Rules Using Multiple Fingerprints Measurements

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092556" target="_blank" >RIV/61989100:27240/14:86092556 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/14:86092556

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-08156-4_26" target="_blank" >http://dx.doi.org/10.1007/978-3-319-08156-4_26</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-08156-4_26" target="_blank" >10.1007/978-3-319-08156-4_26</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Orphan Drug Legislation with Data Fusion Rules Using Multiple Fingerprints Measurements

  • Original language description

    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. Springer International Publishing Switzerland 2014.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 303

  • ISBN

    978-3-319-08155-7

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    261-270

  • Publisher name

    Springer-Verlag Berlin Heidelberg

  • Place of publication

    Berlin Heidelberg

  • Event location

    Ostrava

  • Event date

    Jun 23, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000342841800026