Learning tool for medicine students based on biomedical named entity recognition and Linked Open Data

Abstract

In this paper, we present a computer learning tool aimed at helping medical undergraduate students in the process of understanding biomedical concepts in clinical case histories. The system automatically detects concepts and biomedical entities in the text and presents them to the user linked to rich content extracted from Linked Open Data resources. A student can paste a clinical case text and automatically explore relevant information about biomedical topics such as medical conditions, symptoms, treatments, drugs and other biomedical literature.