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Selected Publication:

SHR Neuro Cancer Cardio Lipid

Kreuzthaler, M; Martínez-Costa, C; Kaiser, P; Schulz, S.
Semantic Technologies for Re-Use of Clinical Routine Data.
Stud Health Technol Inform. 2017; 236(18):24-31
PubMed

 

Authors Med Uni Graz:
Kreuzthaler Markus Eduard
Martinez Costa Catalina
Schulz Stefan
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Abstract:
Routine patient data in electronic patient records are only partly structured, and an even smaller segment is coded, mainly for administrative purposes. Large parts are only available as free text. Transforming this content into a structured and semantically explicit form is a prerequisite for querying and information extraction. The core of the system architecture presented in this paper is based on SAP HANA in-memory database technology using the SAP Connected Health platform for data integration as well as for clinical data warehousing. A natural language processing pipeline analyses unstructured content and maps it to a standardized vocabulary within a well-defined information model. The resulting semantically standardized patient profiles are used for a broad range of clinical and research application scenarios.
Find related publications in this database (using NLM MeSH Indexing)
Electronic Health Records -
Humans -
Information Storage and Retrieval -
Natural Language Processing -
Semantics -
Vocabulary, Controlled -

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