Validation of Semantic Analyses of Unstructured Medical Data for Research Purposes
Roman Michael Pokora,Lucian Le Cornet,Philipp Daumke,Peter Mildenberger,Hajo Zeeb,Maria Blettner · Das Gesundheitswesen · 2020 · Heft S 2 · S. S158 bis S164
Bibliografische Angaben
Zusammenfassung
Corrected by: Validation of Semantic Analyses of Unstructured Medical Data for Research PurposesGesundheitswesen 2020; 82(S 02): S165-S165 DOI: 10.1055/a-1100-1630 Abstract 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)…
