Methodology for creating a sample subset of dynamic taxonomy to use in navigating medical text databases

2003 ◽  
Author(s):  
D. Wollersheim ◽  
W. Rahayu
Keyword(s):  
Text Databases ◽  
Medical Text

A Medical Text Analysis System for German - Syntax Analysis

1991 ◽  
Vol 30 (04) ◽  
pp. 275-283 ◽  
Author(s):  
P. M. Pietrzyk
Keyword(s):  
Text Analysis ◽  
Free Text ◽  
New Approach ◽  
Syntax Analysis ◽  
Medical Text ◽  
Medical Language ◽  
Computerized Processing ◽  
Language Data ◽  
Analysis System ◽  
German Syntax

Abstract:Much information about patients is stored in free text. Hence, the computerized processing of medical language data has been a well-known goal of medical informatics resulting in different paradigms. In Gottingen, a Medical Text Analysis System for German (abbr. MediTAS) has been under development for some time, trying to combine and to extend these paradigms. This article concentrates on the automated syntax analysis of German medical utterances. The investigated text material consists of 8,790 distinct utterances extracted from the summary sections of about 18,400 cytopathological findings reports. The parsing is based upon a new approach called Left-Associative Grammar (LAG) developed by Hausser. By extending considerably the LAG approach, most of the grammatical constructions occurring in the text material could be covered.

scholarly journals A knowledge-based approach for retrieving scenario-specific medical text documents

2005 ◽  
Vol 13 (9) ◽  
pp. 1105-1121 ◽  
Author(s):  
Wesley W. Chu ◽  
Zhenyu Liu ◽  
Wenlei Mao ◽  
Qinghua Zou
Keyword(s):  
Text Documents ◽  
Medical Text ◽  
Knowledge Based

Automated translation of German to English medical text

1986 ◽  
Vol 81 (1) ◽  
pp. 103-111 ◽  
Author(s):  
G.William Moore ◽  
U.N. Riede ◽  
Richard A. Polacsek ◽  
Robert E. Miller ◽  
Grover M. Hutchins
Keyword(s):  
Medical Text ◽  
Automated Translation

Catalogs, Indexes, and Full Text Databases

2006 ◽  
Vol 45 (94) ◽  
pp. 191-206 ◽  
Author(s):  
John D. Kawula ◽  
Arlene Weible
Keyword(s):  
Full Text ◽  
Text Databases

THE TERMS-VERBS IN CONTEMPORARY MEDICAL TEXT

2021 ◽  
pp. 102-107
Author(s):  
MARINA V. VEKLICH ◽  
Keyword(s):  
Medical Knowledge ◽  
Word Formation ◽  
Literary Language ◽  
Medical Field ◽  
Medical Text ◽  
Grammatical Categories ◽  
Medical Dictionary ◽  
Russian Medical

The article presents a fact-based study of the verbalization of medical knowledge, verbal nomination as one of the ways to create a Russian medical dictionary. The linguistic materials collected during the research indicate the ability of the verb to terminate concepts. Verb-terms, in contrast to noun-terms, nominate specific processes, phenomena. Verb terms are included in word-formation nests along with noun terms. Verb terms fall into two groups: 1) branch verbs and 2) common verbs. The first group unites verbs characteristic of the medical field of knowledge, the second group includes verbs, the terminological nature of which is manifested in the composition of a phrase with a dependent noun-term. In such verb-nominal phrases, the verb either expands the meaning, or concretizes the existing one. Verb terms are used mainly in those branches of medicine that are associated with a specif- ic action (for example, surgery). Verb terms have the same grammatical categories as verbs of the general literary language. The results obtained can be used for further research on the cognitive properties of verbs-terms based on new sources.

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