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

fYear

2013

fDate

6-8 May 2013

Firstpage

294

Lastpage

299

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Decision and Information Technologies (CoDIT), 2013 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-5547-6

Type

conf

DOI

10.1109/CoDIT.2013.6689560

Filename

6689560