Faculty Publications

Title

Mining FDA resources to compute population-specific frequencies of adverse drug reactions

Document Type

Conference

Keywords

ADR, adverse drug reaction, case report, FDA, side-effect

Journal/Book/Conference Title

Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017

Volume

2017-January

First Page

1809

Last Page

1814

Abstract

Adverse drug reactions (ADRs) represent one of the main health and economic problems in the world. With increasing data on ADRs, there is an increased need for software tools capable of organizing and storing the information on drug-ADR associations in a form that is easy to use and understand. Here we present a step by step computational procedure capable of extracting drug-ADR frequency data from the large collection of patient safety reports stored in the Federal Drug Administration database. Our procedure is the first of its type capable of generating population specific drug-ADR frequencies. The drug-ADR data generated by our method can be made specific to a single patient population group (such as gender or age) or a single therapy characteristic (such as drug dosage, duration of therapy) or any combination of such.

Original Publication Date

12-15-2017

DOI of published version

10.1109/BIBM.2017.8217935

Repository

UNI ScholarWorks, Rod Library, University of Northern Iowa

Language

en

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