Open AccessThe Use of Ontology in Clinical Information Extraction
Author(s) -
Shaidah Jusoh,
Arafat Awajan,
Nadim Obeid
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/5/052083
Subject(s) - ontology , computer science , data integration , information retrieval , information extraction , data science , ontology based data integration , data extraction , information integration , data mining , medline , semantic web , philosophy , epistemology , political science , law
Extracting clinical data from medical or clinical reports is a crucial effort. These records contain the most valuable pieces of evidence of treatments in humans. Integration of information extraction (IE) and ontology can produce a great tool for clinical concept extraction. The aim of this paper is to present a quick overview of the research work which has applied IE and ontology approaches in medical or clinical concepts extraction. This paper also presents our proposed framework based on the integration of both approaches mentioned above for extracting clinical concepts.