Abstract
There is a constantly growing demand for exchanging clinical and health-related information electronically. In the era of the Electronic Health Record the release of individual data for research, health care statistics, monitoring of new diagnostic tests and tracking disease outbreak alerts are some of the areas in which the protection of (patient) privacy has become an important concern. In this paper we present a system for automatic anonymisation of Swedish clinical free text, in the form of discharge letters, by applying generic named entity recognition technology.
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Kokkinakis, D., Thurin, A. (2007). Anonymisation of Swedish Clinical Data. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds) Artificial Intelligence in Medicine. AIME 2007. Lecture Notes in Computer Science(), vol 4594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73599-1_31
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DOI: https://doi.org/10.1007/978-3-540-73599-1_31
Publisher Name: Springer, Berlin, Heidelberg
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