Related Experiment Video
Updated: Jul 3, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Drug name recognition and classification in biomedical texts. A case study outlining approaches underpinning
Isabel Segura-Bedmar1, Paloma Martínez, María Segura-Bedmar
1Computer Science Department, Carlos III University of Madrid, Madrid, Spain. isegura@inf.uc3m.es
Abstract:
This article presents a system for drug name recognition and classification in biomedical texts. The system combines information obtained by the Unified Medical Language System (UMLS) MetaMap Transfer (MMTx) program and nomenclature rules recommended by the World Health Organization (WHO) International Nonproprietary Names (INNs) Program to identify and classify pharmaceutical substances. Moreover, the system is able to detect possible candidates for drug names that have not been detected by MMTx program by applying these rules, achieving, in this way, a broader coverage. This work is the first step in a method for automatic detection of drug interactions from biomedical texts, a specific type of adverse drug event of special interest in patient safety.
More Related Videos
Related Concept Videos
Drug Nomenclature
Methods of Classification and Identification
Microbial Classification System
Cardiovascular Drugs: Classification based on Therapeutic Indications

