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SHR Neuro Cancer Cardio Lipid Metab Microb

Kreuzthaler, M; Schulz, S; Berghold, A.
Secondary use of electronic health records for building cohort studies through top-down information extraction.
J Biomed Inform. 2015; 53: 188-195. Doi: 10.1016/j.jbi.2014.10.010 [OPEN ACCESS]
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Leading authors Med Uni Graz
Kreuzthaler Markus Eduard
Co-authors Med Uni Graz
Berghold Andrea
Schulz Stefan
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Abstract:
Controlled clinical trials are usually supported with an in-front data aggregation system, which supports the storage of relevant information according to the trial context within a highly structured environment. In contrast to the documentation of clinical trials, daily routine documentation has many characteristics that influence data quality. One such characteristic is the use of non-standardized text, which is an indispensable part of information representation in clinical information systems. Based on a cohort study we highlight challenges for mining electronic health records targeting free text entry fields within semi-structured data sources. Our prototypical information extraction system achieved an F-measure of 0.91 (precision=0.90, recall=0.93) for the training set and an F-measure of 0.90 (precision=0.89, recall=0.92) for the test set. We analyze the obtained results in detail and highlight challenges and future directions for the secondary use of routine data in general. Copyright © 2014 Elsevier Inc. All rights reserved.
Find related publications in this database (using NLM MeSH Indexing)
Algorithms -
Cohort Studies -
Computer Graphics -
Data Mining - methods
Databases, Factual -
Electronic Health Records -
Electronic Health Records -
Humans -
Information Storage and Retrieval - methods
Medical Informatics - methods
Natural Language Processing -
Reproducibility of Results -
Research Design -
Software -
Software -
User-Computer Interface -

Find related publications in this database (Keywords)
Information extraction
Secondary use
Clinical narrative
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