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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Automatic indexing in a drug information portal
Saoussen Sakji1, Catherine Letord, Badisse Dahamna
1CISMeF, Rouen University Hospital, Rouen. Sakji.Saoussen@chu-rouen.fr
This study developed a bilingual Drug Information Portal (DIP) using automatic Anatomical Therapeutic Chemical (ATC) classification for improved drug information retrieval. The ATC indexing achieved 76% relevance, enhancing access to drug substance, action, and therapeutic characteristics.
Area of Science:
- Medical Informatics
- Pharmacology
- Information Science
Background:
- Developing comprehensive drug information resources is crucial for healthcare professionals.
- Existing drug information portals often lack multilingual support and sophisticated indexing.
- The need for efficient retrieval of drug characteristics, including therapeutic and chemical properties, is paramount.
Purpose of the Study:
- To create a bilingual (French/English) Drug Information Portal (DIP).
- To implement automatic Anatomical Therapeutic Chemical (ATC) classification for enhanced drug indexing.
- To improve the retrieval of pertinent information on drug substances, target organs/systems, and therapeutic/chemical characteristics.
Main Methods:
- Leveraged the CISMeF portal infrastructure for cataloging and indexing health information.
- Developed specific functionalities for the DIP, incorporating drug-specific terminologies.
- Utilized the ATC classification system for automatic indexing of DIP resources.
Main Results:
- The Drug Information Portal (DIP) was developed through collaboration with VIDAL Company.
- The DIP is designed to streamline user information retrieval processes.
- Automatic ATC indexing yielded relevant results in 76% of evaluated cases.
Conclusions:
- Employing a multi-terminological context and appropriate drug indexing (codes/terms) is vital for effective information storage and retrieval.
- The developed ATC automatic indexing approach shows significant promise in the drug information field.
- Future efforts will focus on enhancing the accuracy of the ATC indexing methodology.
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