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- W87709743 abstract "Retrieving and inspecting traces that log medical processes execution can be a significant help in exception management, and is the first step towards a thorough analysis of the service provided by an health care organization. In this work, we report on extensive retrieval experiments, conducted on a database of 2000 real patient traces, collected at different stroke management units in the Lombardia region, Italy. In our approach, retrieval exploits a K-Nearest Neighbor technique, and relies on a distance definition able to explicitly take into account temporal information in traces—since in emergency medicine the role of time is central. Retrieval is also made faster by the application of non-exhaustive search procedures, that are described in the paper." @default.
- W87709743 created "2016-06-24" @default.
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- W87709743 date "2013-09-04" @default.
- W87709743 modified "2023-09-24" @default.
- W87709743 title "Non-exhaustive Trace Retrieval for Managing Stroke Patients" @default.
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- W87709743 doi "https://doi.org/10.1007/978-3-642-38736-4_3" @default.
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