Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations

Xia Ning, Titus Schleyer, Li Shen, Lang Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Drug-Drug Interactions (DDIs) and associated Adverse Drug Reactions (ADRs) represent a significant public health problem in the United States. The research presented in this paper tackles the problems of representing, discovering, quantifying and visualizing patterns from high-order DDIs in a purely data-driven fashion. We formulate the problems based on a notion of directional DDI relations and correspondingly developed weighted hyper-graphlets for their representation. We also develop a convolutional scheme and its stochastic algorithm SD3ID2S to learn the directional DDI based drug-drug similarities. Our experimental results demonstrate that such approaches can well capture the patterns from high-order DDIs.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-162
Number of pages9
ISBN (Electronic)9781509048816
DOIs
StatePublished - Sep 8 2017
Event5th IEEE International Conference on Healthcare Informatics, ICHI 2017 - Park City, United States
Duration: Aug 23 2017Aug 26 2017

Other

Other5th IEEE International Conference on Healthcare Informatics, ICHI 2017
CountryUnited States
CityPark City
Period8/23/178/26/17

Fingerprint

Drug Interactions
Pharmaceutical Preparations
Drug-Related Side Effects and Adverse Reactions
Public Health
Research

Keywords

  • Graphlet
  • High-Order Drug-Drug Interactions

ASJC Scopus subject areas

  • Health Informatics

Cite this

Ning, X., Schleyer, T., Shen, L., & Li, L. (2017). Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations. In Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017 (pp. 154-162). [8031143] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2017.20

Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations. / Ning, Xia; Schleyer, Titus; Shen, Li; Li, Lang.

Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 154-162 8031143.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ning, X, Schleyer, T, Shen, L & Li, L 2017, Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations. in Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017., 8031143, Institute of Electrical and Electronics Engineers Inc., pp. 154-162, 5th IEEE International Conference on Healthcare Informatics, ICHI 2017, Park City, United States, 8/23/17. https://doi.org/10.1109/ICHI.2017.20
Ning X, Schleyer T, Shen L, Li L. Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations. In Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 154-162. 8031143 https://doi.org/10.1109/ICHI.2017.20
Ning, Xia ; Schleyer, Titus ; Shen, Li ; Li, Lang. / Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations. Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 154-162
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