Signaling adverse drug reactions with novel feature-based similarity model

Fan Yang, Xiaohui Yu, George Karypis

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

5 Scopus citations

Abstract

Adverse drug reactions (ADRs) are a main cause of hospitalization and deaths worldwide. These unanticipated episodes are generally infrequent, but almost all existing ADR signaling techniques are designed to use dataset extracted from spontaneous reporting systems or employed a predefined type of information (e.g., drugs), which suffer from failures to detect unexpected and latent ADRs. In this paper, we propose a novel Feature-based Similarity model (FS) to detect the potential ADRs for medical cases using the electronic patient dataset. FS is tested on the real patient data retrieved from the US Food Drug Administration that includes 54,070 patients detail information and 9,567 ADRs records. Our model ranked all ADRs for the given medical case that combined the information of drugs, medical conditions, and patient profiles and can be applied in therapy decision support systems and unexpected ADR warning systems. The experimental results show that FS outperforms comparing methods. This paper clearly illustrates the great potential along the new direction of ADR signal generate from health care administrative database.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
EditorsHuiru Zheng, Xiaohua Tony Hu, Yadong Wang, Jin-Kao Hao, David Gilbert, Daniel Berrar, Kwang-Hyun Cho, Werner Dubitzky
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages593-596
Number of pages4
ISBN (Electronic)9781479956692
DOIs
StatePublished - Dec 29 2014
Event2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, United Kingdom
Duration: Nov 2 2014Nov 5 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

Other

Other2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
CountryUnited Kingdom
CityBelfast
Period11/2/1411/5/14

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