NDLI: Automagically Encoding Adverse Drug Reactions in MedDRA

Content Provider	IEEE Xplore Digital Library
Author	Zorzi, M. Combi, C. Lora, R. Pagliarini, M. Moretti, U.
Copyright Year	2015
Description	Author affiliation: Dept. of Public Health & Community Med., Univ. of Verona, Verona, Italy (Lora, R.; Pagliarini, M.; Moretti, U.) \|\| Dept. of Comput. Sci., Univ. of Verona, Verona, Italy (Zorzi, M.; Combi, C.)
Abstract	Pharmacovigilance is the field of science devoted to the collection, analysis, and prevention of Adverse Drug Reactions (ADRs). Efficient strategies for the extraction of information about ADRs from free text sources are essential to support the important task of detecting and classifying unexpected pathologies, possibly related to (therapy-related) drug use. Narrative ADR descriptions may be collected in different ways, e.g., Either by monitoring social networks or through the so called "spontaneous reporting, the main method pharmacovigilance adopts in order to identify ADRs. The encoding of free-text ADR descriptions according to MedDRA standard terminology is central for report analysis. It is a complex work, which has to be manually implemented by the pharmacovigilance experts. The manual encoding is expensive (in terms of time). Moreover, a problem about the accuracy of the encoding may occur, since the number of reports is growing up day by day. In this paper, we propose Magi Coder, an efficient Natural Language Processing algorithm able to automatically derive MedDRA terminologies from free text ADR descriptions. Magi Coder is part of Vigi Work, a web application for online ADR reporting and analysis. From a practical point of view, Magi Coder reduces the encoding time of ADR reports. Pharmacologists have simply to review and validate the MedDRA terms proposed by Magi Coder, instead of choosing the right terms among the 70K terms of MedDRA. Such improvement in the efficiency of pharmacologists' work has a relevant impact also on the quality of the following data analysis. Our proposal is based on a general approach, not depending on the considered language. Indeed, we developed Magi Coder for the Italian pharmacovigilance language, but preliminarily analyses show that it is robust to language and dictionary changes.
Starting Page	90
Ending Page	99
File Size	433480
Page Count	10
File Format	PDF
e-ISBN	9781467395489
DOI	10.1109/ICHI.2015.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs Pathology Terminology Adverse reaction entry Encoding Natural language processing Pharmacovigilance Data mining
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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