Validation of Semantic Analyses of Unstructured Medical Data for Research Purposes
Pokora, R.M.; Le Cornet, L.; Daumke, P.; Mildenberger, P.; Zeeb, H.; Blettner, M. · Das Gesundheitswesen · 2019 · Heft S 02 · S. S158 bis S164
Bibliografische Angaben
Zusammenfassung
Background In secondary data there are often unstructured free texts. The aim of this study was to validate a text mining system to extract unstructured medical data for research purposes. Methods From a radiological department, 1, 000 out of 7, 102 CT findings were randomly selected. These were manually divided into defined groups by 2 physicians. For automated tagging and reporting, the text analysis software Averbis Extraction Platform (AEP) was used. Special features of the system are a morphological analysis for the decomposition of compound words as well as the recognition of noun phrases, abbreviations an…
