poster

Automatic integration of drug indications from multiple health resources

Authors:

Aurélie Névéol,

Zhiyong LuAuthors Info & Claims

IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium

Pages 666 - 673

https://doi.org/10.1145/1882992.1883096

Published: 11 November 2010 Publication History

Abstract

Drug indication refers to what disease(s) a drug may treat -- a type of information that is frequently sought by biomedical researchers, health care professionals and the general public. Although such information may be available online, it is often challenging for non-experts to glean unbiased reliable information from multiple websites of various quality. In addition, most drug indication information is only available in free text as opposed to structured format, thus making it difficult for further automatic analysis by computers. In response, we herein focus on automatically extracting and integrating drug indication information from multiple resources such as DailyMed and MeSH Scope notes. We select trustworthy resources of drug/disease relationships and apply state-of-the-art relationship extraction methods, customized to improve recall and perform ellipsis and anaphora resolution. As a result, 7,670 unique TREATS relationships between 4,666 drugs and 1,293 diseases are integrated from 4 different sources with an estimated overall correctness of 77% and specificity of 84%.

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Cited By

Moodley KRieswijk LOprea TDumontier M(2021)InContext: curation of medical context for drug indicationsJournal of Biomedical Semantics10.1186/s13326-021-00234-412:1Online publication date: 12-Feb-2021
https://doi.org/10.1186/s13326-021-00234-4
Kilicoglu HRosemblat GHoang LWadhwa SPeng ZMalički MSchneider Jter Riet G(2021)Toward assessing clinical trial publications for reporting transparencyJournal of Biomedical Informatics10.1016/j.jbi.2021.103717116:COnline publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1016/j.jbi.2021.103717
Kilicoglu HRosemblat GFiszman MShin D(2020)Broad-coverage biomedical relation extraction with SemRepBMC Bioinformatics10.1186/s12859-020-3517-721:1Online publication date: 14-May-2020
https://doi.org/10.1186/s12859-020-3517-7
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Index Terms

Automatic integration of drug indications from multiple health resources
1. Applied computing
  1. Life and medical sciences

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Published In

cover image ACM Other conferences

IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium

November 2010

886 pages

ISBN:9781450300308

DOI:10.1145/1882992

Editor:
Tiffany Veinot
University of Michigan, USA
,
General Chairs:
Ümit V. Çatalyürek
The Ohio State University, USA
,
Gang Luo
IBM Research, USA
,
Program Chairs:
Henrique Andrade
Goldman Sachs, USA
,
Neil R. Smalheiser
University of Illinois, Chicago, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGHIT: ACM Special Interest Group on Health Informatics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2010

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IHI '10

IHI '10: ACM International Health Informatics Symposium

November 11 - 12, 2010

Virginia, Arlington, USA

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Cited By

Moodley KRieswijk LOprea TDumontier M(2021)InContext: curation of medical context for drug indicationsJournal of Biomedical Semantics10.1186/s13326-021-00234-412:1Online publication date: 12-Feb-2021
https://doi.org/10.1186/s13326-021-00234-4
Kilicoglu HRosemblat GHoang LWadhwa SPeng ZMalički MSchneider Jter Riet G(2021)Toward assessing clinical trial publications for reporting transparencyJournal of Biomedical Informatics10.1016/j.jbi.2021.103717116:COnline publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1016/j.jbi.2021.103717
Kilicoglu HRosemblat GFiszman MShin D(2020)Broad-coverage biomedical relation extraction with SemRepBMC Bioinformatics10.1186/s12859-020-3517-721:1Online publication date: 14-May-2020
https://doi.org/10.1186/s12859-020-3517-7
Hou WLee BChen H(2018)Mining Patterns of Drug-Disease Association from Biomedical TextsProceedings of the 2018 8th International Conference on Bioscience, Biochemistry and Bioinformatics10.1145/3180382.3180401(84-90)Online publication date: 18-Jan-2018
https://dl.acm.org/doi/10.1145/3180382.3180401
Krallinger MRabal OLourenço AOyarzabal JValencia A(2017)Information Retrieval and Text Mining Technologies for ChemistryChemical Reviews10.1021/acs.chemrev.6b00851117:12(7673-7761)Online publication date: 5-May-2017
https://doi.org/10.1021/acs.chemrev.6b00851
Wang LHaug PDel Fiol G(2017)Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repositoryJournal of Biomedical Informatics10.1016/j.jbi.2017.04.01469:C(259-266)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1016/j.jbi.2017.04.014
Cui HXu DChong SRamirez MRodenhausen TMacklin JLudäscher BMorris RSoto EKoch N(2016)Introducing Explorer of Taxon Concepts with a case study on spider measurement matrix buildingBMC Bioinformatics10.1186/s12859-016-1352-717:1Online publication date: 17-Nov-2016
https://doi.org/10.1186/s12859-016-1352-7
Bravo ÀPiñero JQueralt-Rosinach NRautschka MFurlong L(2015)Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational researchBMC Bioinformatics10.1186/s12859-015-0472-916:1Online publication date: 21-Feb-2015
https://doi.org/10.1186/s12859-015-0472-9
Manek AKailash Pandey K Shenoy PMohan MVenugopal K R (2015)Classification of drugs reviews using W-LRSVM model2015 Annual IEEE India Conference (INDICON)10.1109/INDICON.2015.7443425(1-6)Online publication date: Dec-2015
https://doi.org/10.1109/INDICON.2015.7443425
Cheng VLeung CLiu JMilani A(2014)Probabilistic Aspect Mining Model for Drug ReviewsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2013.17526:8(2002-2013)Online publication date: Aug-2014
https://doi.org/10.1109/TKDE.2013.175
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