pMineR: An Innovative R Library for Performing Process Mining in Medicine

Roberto Gatta, Jacopo Lenkowicz[, Mauro Vallati, Eric Rojas, Andrea Damiani, Lucia Sacchi, Berardino De Bari, Arianna Dagliati, Carlos Fernandez-Llatas, Matteo Montesi, Antonio Marchetti, Maurizio Castellano, Vincenzo Valentini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

38 Citations (Scopus)


Process Mining is an emerging discipline investigating tasks related with the automated identification of process models, given real world 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.
Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine
Subtitle of host publicationProceedings of the 16th Conference on Artificial Intelligence in Medicine
PublisherSpringer International Publishing AG
Number of pages5
ISBN (Electronic)9783319597584
ISBN (Print)9783319597577
Publication statusPublished - Jun 2017
Event16th Conference on Artificial Intelligence in Medicine - Vienna, Austria
Duration: 21 Jun 201724 Jun 2017
Conference number: 16 (Link to Conference Website )

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer International


Conference16th Conference on Artificial Intelligence in Medicine
Abbreviated titleAIME 2017
Internet address


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