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

2020

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…

Stellungnahme der DGepi, gmds, DGSMP und DNEbM HPV-Impfung: Notwendigkeit der Begleitforschung und Evaluation

2009

Inzidenz von Kinderkrebs nach Röntgendiagnostik im Patientenkollektiv der Jahre 1976 – 2003 einer Universitäts-Kinderklinik

2010

Purpose: Although the carcinogenic effect of ionizing radiation is well known, knowledge gaps persist on the health effects of low-dose radiation, especially in children. The cancer incidence rate in a cohort of 92,957 children diagnosed using X-rays in the years 1976-2003 in the radiology department of a large university clinic was studied. Materials and Methods: Individual radiation doses per examination were reconstructed using an algorithm taking into account the dose area product and other exposure parameters together with conversion factors computed specifically for the equipment and protocols used in the radiology department. Incident cancer cases in the period 1980-2006 were identif…