CFP First International Workshop on Drug Interaction Knowledge Representation (DIKR-2014) at the International Conference on Biomedical Ontologies (ICBO 2014)

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Mathias Brochhausen

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May 28, 2014, 4:53:23 AM5/28/14
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CALL FOR PAPERS


First International Workshop on Drug Interaction Knowledge

Representation (DIKR-2014) at the International Conference on Biomedical

Ontologies (ICBO 2014)


October 6-7, 2014

Houston, USA


Website: https://sites.google.com/site/ddikrandir/home/dikr2014


OVERVIEW

The combination of poor quality evidence and a general lack of drug-drug

interaction (DDI) knowledge by persons who prescribe drugs results in

many thousands of preventable medication errors each year. While many

sources of DDI evidence exist to help improve prescriber knowledge, no

clinician-oriented meta-data standard currently exists. Such a standard

could enable a more effective synthesis of DDI evidence during tasks

such as consulting and guideline development.


The goal of this workshop is to bring clinical and ontology experts

together to discuss:

a) potential DDI knowledge representation solutions that reflect the

state-of-the-art of both the clinical understanding of DDIs and

biomedical ontology development,


b) how to best link DDI ontologies to pre-existing drug terminology

efforts, and


c) roadblocks to the adoption of ontology-driven solutions such as

coverage, usability, and scalability.


AREAS OF INTEREST TO THE WORKSHOP

- Previous and current drug-drug interaction ontology development efforts

- Competency questions and clinical, epidemiologic, and translational

use cases

- Approaches to representing drug-drug interaction evidence and

scientific discourse

- Drug-drug interaction ontology maintenance

- How to move toward an international standard for representing and

sharing drug-drug interaction knowledge


VENUE AND FORMAT

The authors of accepted papers will present 15 minute talks followed by

brief discussions. Following papers presentations, an interdisciplinary

panel will lead a moderated discussion focusing on prioritizing research

challenges. All workshop participants will provide input and help guide

the discussion using a live survey system. Accepted papers and a summary

of the moderated discussion will be published in the proceedings and

made available at CEUR (http://ceur-ws.org/).


INTENDED AUDIENCE

- Anyone with an interest in how information systems can best represent

and share drug-drug interaction knowledge for clinically oriented

applications. These might include:

- Clinical and translational scientists who focus on drug safety

- Terminology and ontology developers or users

- Clinical decision support developers or users

- Natural Language Processing researchers

- Drug compendium developers or editors

- Regulatory scientists


IMPORTANT DATES

Paper Submission deadline: August 4, 2014


Notification of paper acceptance: August 25, 2014


PAPER SUBMISSION

Papers describing original research or novel applications are welcome.

All papers  be peer reviewed to assess the quality of scientific method

and potential for the work to advance DDI knowledge representation

beyond existing methods or technologies.


Papers should be between 5 - 10 pages long excluding references. Please

use Springer's Lecture Notes in Computer Science (LNCS) templates:


Springer Author Guidelines (pdf): http://bit.ly/1m3C9tP


Springer LNCS template files: http://bit.ly/1nejsYb


Submit manuscripts to the Easy Chair submission site:

https://www.easychair.org/conferences/?conf=dikr2014


ORGANIZERS

Richard D. Boyce (University of Pittsburgh)

Mathias Brochhausen (University of Arkansas for Medical Sciences)

Philip Empey (University of Pittsburgh)

William R. Hogan (University of Arkansas for Medical Sciences)

Daniel Malone (University of Arizona)


SCIENTIFIC COMMITTEE

Richard D. Boyce (University of Pittsburgh)

Mathias Brochhausen (University of Arkansas for Medical Sciences)

Michel Dumontier (Stanford University)

Jon Duke (Regenstrief Institute)

Philip Empey (University of Pittsburgh)

William R. Hogan (University of Arkansas for Medical Sciences)

Daniel Malone (University of Arizona)

Alan Ruttenberg (University at Buffalo)

David Weinstein (Wolters Kluwer Health)


SUPPORTED BY

This project is supported by a grant from the National Library of

Medicine: "Addressing gaps in clinically useful evidence on drug-drug

interactions" (1R01LM011838-01)

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