Work

Text and Ontology Driven Clinical Decision Support System

Year: 2013

Type: article

Abstract: In this paper, we discuss our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide clinically relevant information to the physicians.

Source: Maryland Shared Open Access Repository (USMAI Consortium)

DOI: 10.13016/m2k931970

Authors: Dhariwal, Deepal, Joshi, Anupam, Grasso, Michael A.

Institutions: University of Maryland, Baltimore County, University of Maryland, Baltimore

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2286857955

FWCI: 0.149

Cites: 20

Cited by: 1

Related to: 10