Knowledge retrieval from PubMed abstracts and electronic medical records with the Multiple Sclerosis Ontology.

ABSTRACT:

Background

In order to retrieve useful information from scientific literature and electronic medical records (EMR) we developed an ontology specific for Multiple Sclerosis (MS).

Methods

The MS Ontology was created using scientific literature and expert review under the Protégé OWL environment. We developed a dictionary with semantic synonyms and translations to different languages for mining EMR. The MS Ontology was integrated with other ontologies and dictionaries (diseases/comorbidities, gene/protein, pathways, drug) into the text-mining tool SCAIView. We analyzed the EMRs from 624 patients with MS using the MS ontology dictionary in order to identify drug usage and comorbidities in MS. Testing competency questions and functional evaluation using F statistics further valid

SUBMITTER: Malhotra A 

PROVIDER: S-EPMC4321837 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature