Abstract
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.
Subject
Health Information Management,Advanced and Specialized Nursing,Health Informatics
Cited by
7 articles.
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1. Clinical Narrative Analytics Challenges;Rough Sets;2016
2. Text Analysis and Information Extraction from Spanish Written Documents;Brain Informatics and Health;2014
3. An experimental study in automatically categorizing medical documents;Journal of the American Society for Information Science and Technology;2001
4. A Semantic Lexicon for Medical Language Processing;Journal of the American Medical Informatics Association;1999-05-01
5. A Dutch medical language processor;International Journal of Bio-Medical Computing;1996-06