Gatta, Roberto, Lenkowicz, Jacopo, Vallati, Mauro, Rojas, Eric, Damiani, Andrea, Sacchi, Lucia, De Bari, Berardino, Dagliati, Anna, Fernandez-Llatas, Carlos, Montesi, Matteo, Marchetti, Antonio, Castellano, Maurizio and Valentini, Vincenzo (2017) pMineR: An Innovative R Library for Performing Process Mining in Medicine. In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME). Springer, pp. 351-355. ISBN 978-3-319-59758-4

Process Mining is an emerging discipline investigating tasks related with the automated identification of process models, given realworld
data (Process Discovery). The analysis of such models can provide useful insights to domain experts. In addition, models of processes can
be used to test if a given process complies (Conformance Checking) with specifications. For these capabilities, Process Mining is gaining importance and attention in healthcare.
In this paper we introduce pMineR, an R library specifically designed for performing Process Mining in the medical domain, and supporting
human experts by presenting processes in a human-readable way.

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