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Performance of Contradiction Rule Implementations in Health Data for Efficient Data Quality Assessments.

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Title: Performance of Contradiction Rule Implementations in Health Data for Efficient Data Quality Assessments.
Authors: Yusuf KO; Department of Medical Informatics, University Medical Center Göttingen, Germany., Chaplinskaya-Sobol I; Department of Medical Informatics, University Medical Center Göttingen, Germany., Schoneberg A; Department of Medical Informatics, University Medical Center Göttingen, Germany., Hanss S; Department of Medical Informatics, University Medical Center Göttingen, Germany.; German Center for Cardiovascular Research, Partner Site Göttingen, Germany., Blaschke S; Emergency Department, University Medical Center Goettingen, Germany., Vehreschild JJ; Goethe University Frankfurt, Faculty of Medicine, Institute for Digital Medicine and Clinical Data Science, Germany., Bröhl I; Goethe University Frankfurt, Faculty of Medicine, Institute for Digital Medicine and Clinical Data Science, Germany., Fiedler K; Goethe University Frankfurt, Faculty of Medicine, Institute for Digital Medicine and Clinical Data Science, Germany., Scherer M; Goethe University Frankfurt, Faculty of Medicine, Institute for Digital Medicine and Clinical Data Science, Germany., Sikdar S; Goethe University Frankfurt, Faculty of Medicine, Institute for Digital Medicine and Clinical Data Science, Germany., Wagner P; Goethe University Frankfurt, Faculty of Medicine, Institute for Digital Medicine and Clinical Data Science, Germany., Geisler R; Goethe University Frankfurt, Faculty of Medicine, Institute for Digital Medicine and Clinical Data Science, Germany., Miljukov O; University of Würzburg, Institute for Clinical Epidemiology and Biometry., Milovanovic M; Malteser Krankenhaus St. Franziskus Hospital, Medical Clinic I, Flensburg, Germany., Reese JP; Faculty of Health Science, Technische Hochschule Mittelhessen, University of Applied Science, Giessen, Germany., Krefting D; Department of Medical Informatics, University Medical Center Göttingen, Germany.; Campus Institute Data Science, Georg-August-University, Göttingen, Germany.; German Center for Cardiovascular Research, Partner Site Göttingen, Germany.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Sep 03; Vol. 331, pp. 318-326.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
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