article

Combining association rule mining and network analysis for pharmacosurveillance

Authors:

Philippe J. Giabbanelli,

Indravadan Patel,

Naga Harish Balabhadrapathruni,

Aymen Ben Abdallah,

Vijay K. MagoAuthors Info & Claims

The Journal of Supercomputing, Volume 72, Issue 5

Pages 2014 - 2034

https://doi.org/10.1007/s11227-016-1714-y

Published: 01 May 2016 Publication History

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.

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Shah NWillick DMago V(2022)A framework for social media data analytics using Elasticsearch and KibanaWireless Networks10.1007/s11276-018-01896-228:3(1179-1187)Online publication date: 1-Apr-2022
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Zhuang YFong SYuan MSung YCho KWong R(2017)Location-based big data analytics for guessing the next Foursquare check-insThe Journal of Supercomputing10.1007/s11227-016-1925-273:7(3112-3127)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1007/s11227-016-1925-2

Combining association rule mining and network analysis for pharmacosurveillance

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cover image The Journal of Supercomputing

The Journal of Supercomputing Volume 72, Issue 5

May 2016

380 pages

ISSN:0920-8542

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Copyright © Copyright © 2016 Springer Science+Business Media New York.

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Kluwer Academic Publishers

United States

Publication History

Published: 01 May 2016

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Cited By

Shah NWillick DMago V(2022)A framework for social media data analytics using Elasticsearch and KibanaWireless Networks10.1007/s11276-018-01896-228:3(1179-1187)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s11276-018-01896-2
Zhuang YFong SYuan MSung YCho KWong R(2017)Location-based big data analytics for guessing the next Foursquare check-insThe Journal of Supercomputing10.1007/s11227-016-1925-273:7(3112-3127)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1007/s11227-016-1925-2

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