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Multi-level Interactive Medical Process Mining

  • Luca Canensi
  • Giorgio Leonardi
  • Stefania MontaniEmail author
  • Paolo Terenziani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10259)

Abstract

In this paper, we present a novel process mining approach, specifically tailored to medical applications, which allows the user to build an initial process model from the hospital event log, and then supports further model refinements, by directly exploiting her knowledge-based model evaluation. In such a way, it supports the interactive construction of the process model at multiple and user-defined levels of abstraction, ranging from a model which perfectly adheres to the input traces (i.e., all of its paths correspond to at least one trace in the log) to models which increasingly loose precision, but gain generality. Our results in the field of stroke management, reported as a case study in this paper, show that our approach can provide relevant advantages with respect to traditional process mining techniques.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Luca Canensi
    • 1
  • Giorgio Leonardi
    • 2
  • Stefania Montani
    • 2
    Email author
  • Paolo Terenziani
    • 2
  1. 1.Department of Computer ScienceUniversità di TorinoTurinItaly
  2. 2.DISIT, Computer Science InstituteUniversità del Piemonte OrientaleAlessandriaItaly

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