Khnaisser C, Hamrouni H, Blumenthal DB, Dignoes A, Gamper J (2022)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2022
Publisher: Springer International Publishing
Series: Lecture Notes in Computer Science
City/Town: Cham
Book Volume: 13389
Pages Range: 209--222
Conference Proceedings Title: Advances in Databases and Information Systems (ADBIS 2022)
ISBN: 9783031157394
DOI: 10.1007/978-3-031-15740-0_16
Finding anomalies in temporal relational databases is a difficult and challenging task, in particular if data is integrated from different sources. The problem is especially pressing in healthcare information systems, where temporal anomalies can pinpoint critical events such as erroneous drug administration or prescription. In this paper, we define three different temporal anomalies, which we call temporal redundancy, contradiction, and incompleteness. We define two different operators for each of these anomalies: the retrieval operator to retrieve all tuples of a relation that cause anomalous behaviour, and the labelling operator to annotate a temporal relation with additional information that marks normal and anomalous tuples. Finally, we present and evaluate different implementation techniques for the two operators for relational database systems.
APA:
Khnaisser, C., Hamrouni, H., Blumenthal, D.B., Dignoes, A., & Gamper, J. (2022). Querying Temporal Anomalies in Healthcare Information Systems and Beyond. In Chiusano S, Cerquitelli T, Wrembel R (Eds.), Advances in Databases and Information Systems (ADBIS 2022) (pp. 209--222). Turin, IT: Cham: Springer International Publishing.
MLA:
Khnaisser, Christina, et al. "Querying Temporal Anomalies in Healthcare Information Systems and Beyond." Proceedings of the 26th European Conference on Advances in Databases and Information Systems (ADBIS 2022), Turin Ed. Chiusano S, Cerquitelli T, Wrembel R, Cham: Springer International Publishing, 2022. 209--222.
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