0000000000117731

AUTHOR

Philipp Daumke

showing 2 related works from this author

Correction: Validation of Semantic Analyses of Unstructured Medical Data for Research Purposes.

2020

Text miningInformation retrievalbusiness.industryComputer sciencePublic Health Environmental and Occupational HealthbusinessGesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))
researchProduct

Validation of Semantic Analyses of Unstructured Medical Data for Research Purposes

2019

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 and negated statements. Based on the extracted standardized keywords, findings rep…

business.industryComputer sciencePublic Health Environmental and Occupational HealthMEDLINEcomputer.software_genreSemantics030210 environmental & occupational healthNoun phraseMedical RecordsSecondary data ; Text-mining ; Validation ; Unstrukturierte Freitext ; Unstructured free text ; Validierung ; SekundärdatenSemantics03 medical and health sciences0302 clinical medicineText miningSoftwareCohen's kappaCompoundGermanyData Mining030212 general & internal medicineArtificial intelligencebusinesscomputerReliability (statistics)Natural language processing
researchProduct