Verarbeitung Natürlichsprachiger Medizinischer Begriffe

Adlassnig, Klaus-Peter; Gräbner, Helmut

doi:10.1007/978-3-642-70633-2_6

Cited by 8 publications

(1 citation statement)

References 5 publications

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“…This is compared with corresponding sets based on entries in medical dictionaries such as classifications or nomenclatures, thereby supporting the interactive or automated assignment of the most appropriate concept expressed in a standardized manner. This is a wellknown approach [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] which has been mainly applied to the indexing of diagnosis statements. By neglecting structural aspects, this approach is only applicable to fairly short linguistic expressions such as noun phrases which represent a single medical concept.…”

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confidence: 99%

A Medical Text Analysis System for German - Syntax Analysis

Pietrzyk

1991

Methods Inf Med

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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.

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