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A Minimal Information Model for Potential Drug-Drug Interactions
Harry Hochheiser
, Xia Jing
, Elizabeth A. Garcia
, Serkan Ayvaz
, Ratnesh Sahay
, Michel Dumontier
, Juan M. Banda
, Oya Beyan
, Mathias Brochhausen
, Evan Draper
, Sam Habiel
, Oktie Hassanzadeh
, Maria Herrero-Zazo
, Brian Hocum
, John Horn
, Brian LeBaron
, Daniel C. Malone
, Øystein Nytrø
, Thomas Reese
, Katrina Romagnoli
Jodi Schneider
, Louisa Zhang, Richard D. Boyce
Show 3 others
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School of Information Sciences
European Union Center
Beckman Institute for Advanced Science and Technology
Coordinated Science Lab
Informatics
Research output
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Contribution to journal
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Article
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peer-review
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Keyphrases
Adverse Events
20%
Best Practice Guidelines
20%
Clinical Consequences
20%
Clinical Decision Support
20%
Community Consensus
20%
Community Groups
20%
Complete Description
20%
Consensus Set
20%
Contextual Information
20%
Drug Interaction Knowledge
20%
Drug Interactions
80%
Exposure Frequency
20%
Health Impact
20%
Healthcare Science
20%
Implementation Guide
20%
Informatician
20%
Information Model
100%
Interaction Frequency
20%
Interaction Mechanism
20%
Knowledge Artifact
20%
Life Sciences
20%
Mechanism of Action
20%
Minimal Information
100%
Modifying Factors
20%
Potential Drug-drug Interactions
100%
Potential Interaction
40%
Scientific Community
20%
Semantic Web
20%
User Profile
20%
World Wide Web Consortium
20%
Computer Science
Best Practice
33%
clinical decision support
33%
Community Group
33%
Contextual Information
33%
Depth Examination
33%
Health Care
33%
Information Item
100%
Information Model
100%
Knowledge Artifact
33%
Practice Recommendation
33%
Recent Literature
33%
Recommended Action
33%
Science Community
33%
Semantic Web
33%
Specific Potential
33%
Use Case
33%
World Wide Web Consortium
33%
Psychology
Healthcare
100%
World Wide Web Consortium
100%
Medicine and Dentistry
Adverse Event
11%
Clinician
11%
Drug Interaction
100%
Health Care
11%
Pharmacology, Toxicology and Pharmaceutical Science
Adverse Event
12%
Drug Interaction
12%
Drug-Drug Interaction
100%