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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 5/2016

01.05.2016

Combining association rule mining and network analysis for pharmacosurveillance

verfasst von: Eugene Belyi, Philippe J. Giabbanelli, Indravadan Patel, Naga Harish Balabhadrapathruni, Aymen Ben Abdallah, Wedyan Hameed, Vijay K. Mago

Erschienen in: The Journal of Supercomputing | Ausgabe 5/2016

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Abstract

Retailers routinely use association mining to investigate trends in the use of their products. In the medical world, association mining is mostly used to identify associations between symptoms and diseases, or between drugs and adverse events. In comparison, there is a relative paucity of work that focuses on relationships between drugs exclusively. In this work, we use the Medical expenditure panel survey to examine relationships between drugs in the United States. In addition to examining the rules generated by association mining, we introduce the notion of a target drug network and demonstrate via different drugs that it can offer additional medical insight. For example, we were able to find drugs that are commonly taken together despite containing the same active compound. Future work can expand on the concept of target drug network, for example, by annotating the networks with the compounds and intended uses of each drug, to yield additional insight for pharmacosurveillance as well as pharmaceutical companies.
Vorheriger Artikel A novel MPI reduction algorithm resilient to imbalances in process arrival times
Nächster Artikel A novel heuristic algorithm for IP block mapping onto mesh-based networks-on-chip

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Fußnoten
2
Up-to-date National Diabetes Statistics are maintained by the CDC at http://​www.​cdc.​gov/​diabetes/​statistics/​prev/​national/​figpersons.​htm.
 
3
Up-to-date National Asthma Prevalence is maintained by the CDC at http://​www.​cdc.​gov/​asthma/​most_​recent_​data.​htm.
 
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Metadaten
Titel
Combining association rule mining and network analysis for pharmacosurveillance
verfasst von
Eugene Belyi
Philippe J. Giabbanelli
Indravadan Patel
Naga Harish Balabhadrapathruni
Aymen Ben Abdallah
Wedyan Hameed
Vijay K. Mago
Publikationsdatum
01.05.2016
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 5/2016
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-016-1714-y

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