Title :
AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
Author :
Benzarti, Sabrine ; Ben Abdessalem Karaa, Wahiba
Author_Institution :
Comput. Sci., High Inst. of Manage., Tunisia
Abstract :
Several studies have been conducted in different areas in order to annotate the medical data and extract knowledge, related to diseases, amino acid, genes, proteins, etc. Our research concerns the field of pharmacology which is wealthy but rarely studied. However it is a very interesting field and has great value as it is directly connected to human life. The aim of our research is to annotate MEDLINE abstracts belonging to the domain of pharmacology in order to extract the substances responsible of Adverse Reactions (ADRs) on the human body organs. To validate our approach, we implemented a prototype of a system (AnnoPharma). For this purpose we designed a new approach, based on semantic annotation, showing heartening performance.
Keywords :
diseases; genetics; knowledge acquisition; medical information systems; proteins; ADR; AnnoPharma; MEDLINE abstracts; adverse reactions; amino acid; diseases; genes; human body organs; information annotation; information extraction; knowledge extraction; medical data; pharmacology; proteins; Abstracts; Biological systems; Data mining; Drugs; Information retrieval; Ontologies; Semantics; ADR; Annotation; Information Extraction; MEDLINE; OWL; RDF; UMLS; pharmacology;
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5547-6
DOI :
10.1109/CoDIT.2013.6689560
