Semantics Driven Approach for Knowledge Acquisition From EMRs

Authors

Sujan Perera, Wright State University - Main CampusFollow
Cory Andrew Henson, Wright State University - Main Campus
Krishnaprasad Thirunarayan, Wright State University - Main CampusFollow
Amit P. Sheth, Wright State University - Main CampusFollow
Suhas Nair

Document Type

Article

Publication Date

3-2014

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Abstract

Semantic computing technologies have matured to be applicable to many critical domains such as national security, life sciences, and health care. However, the key to their success is the availability of a rich domain knowledge base. The creation and refinement of domain knowledge bases pose difficult challenges. The existing knowledge bases in the health care domain are rich in taxonomic relationships, but they lack non-taxonomic (domain) relationships. In this paper, we describe a semiautomatic technique for enriching existing domain knowledge bases with causal relationships gleaned from Electronic Medical Records (EMR) data. We determine missing causal relationships between domain concepts by validating domain knowledge against EMR data sources and leveraging semantic-based techniques to derive plausible relationships that can rectify knowledge gaps. Our evaluation demonstrates that semantic techniques can be employed to improve the efficiency of knowledge acquisition.

Repository Citation

Perera, S., Henson, C. A., Thirunarayan, K., Sheth, A. P., & Nair, S. (2014). Semantics Driven Approach for Knowledge Acquisition From EMRs. IEEE Journal of Biomedical and Health Informatics, 18 (2), 515-524.
https://corescholar.libraries.wright.edu/knoesis/595

DOI

10.1109/JBHI.2013.2282125