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Clustering healthcare processes with a robust approach

Matsatsinis Nikolaos, Doumpos, Michael, Grigoroudis, Evangelos, Panagiotis Manolitzas, Pavlos Delias

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/CDD0359F-7088-42EC-A4C5-1873F2339420
Έτος 2013
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά P.Delias, M. Doumpos, P. Manolitzas, E. Grigoroudis, N. Matsatsinis," Clustering healthcare processes with a robust approach,"in 26th European Conference on Operational Research,2013.
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Περίληψη

Process Mining has been proved to be an effective approach to discover process models from event logs. However, when a highly diversified behavior is allowed (like in a healthcare environment) mining a single model could yield pointless results. One way to tackle this diversity is clustering the log into coherent groups. In this work we propose a robust spectral clustering approach. The spectral approach let one with greater flexibility in representing data (a similarity measure is enough) while the proposed robust technique can handle outliers, a common occurrence in healthcare processes.

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