This article is cited in 1 paper

Medical Informatics

Computing of umls concepts etiopathogenetic image using graph metrics

P. A. Astanin, S. E. Rauzina, T. V. Zarubina

Russian National Research Medical University named after N. I. Pirogov, Moscow, Russia

Abstract: At present, the development of clinical decision support (CDS) tools is a crucial task in medical informatics. A lot of different information searching algorithms are used in CDS systems. A fundamental step in the design of these algorithms is the creation of an etiopathogenetic image for the analysis of unstructured medical texts. In this paper, we have conducted the literary review and a comparative evaluation of analytical metrics used to compute the etiopathogenetic image of concepts within the graph model of the Unified Medical Language System (UMLS) metathesaurus. Subsequently, we developed and validated our version of a graph metric suitable for the aforementioned task implementation.

Key words and phrases: hospital information system, information searching algorithms, knowledge base, graph theory, UMLS.

UDC: 004.652.3, 616-079.4
BBK: 32.972.34: 53.4

MSC: Primary 68T30; Secondary 92C50

Received: 30.03.2023
Accepted: 18.06.2023

Language: Russian and English

DOI: 10.25209/2079-3316-2023-14-3-59-94