RELATION EXTRACTION OF CLINICAL TEXTS
Abstract
Digital modernization of the healthcare system is a global trend in the development of the industry; it is associated with the possibility of digitizing patient healthcare data. The accumulated data may be processed and analyzed to improve patient care and diagnosis. This paper proposes an approach to structuring medical text notes. A framework for relation extraction is proposed for notes by clinicians, as well as numerical experiments to construct a model of the semantic parser.
About the Authors
А. А. Pak
Institute of Information and Computational Technologies
Kazakhstan
Kazakhstan
Almaty
A. B. Jaxylykova
Institute of Information and Computational Technologies
Kazakhstan
Kazakhstan
Almaty
Z. M. Yussupova
Kazakh-British Technical University
Kazakhstan
Kazakhstan
A. A. Zhakhan
Kazakh-British Technical University
Kazakhstan
Kazakhstan
Almaty
A. S. Yerimbetova
Kazakh-British Technical University
Kazakhstan
Kazakhstan
Almaty
A. A. Bexauytova
Kazakh-British Technical University
Kazakhstan
Kazakhstan
Almaty
Z. A. Shakenova
Regional Cardiology Center
Kazakhstan
Kazakhstan
Taldykorgan
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Review
For citations:
Pak А.А., Jaxylykova A.B., Yussupova Z.M., Zhakhan A.A., Yerimbetova A.S., Bexauytova A.A., Shakenova Z.A. RELATION EXTRACTION OF CLINICAL TEXTS. Herald of the Kazakh-British Technical University. 2020;17(2):189-194.
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