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pMineR: An innovative R library for performing process mining in medicine

Contributo in Atti di convegno
Data di Pubblicazione:
2017
Abstract:
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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
Decision support system; Process mining; R
Elenco autori:
Gatta, R.; Lenkowicz, J.; Vallati, M.; Rojas, E.; Damiani, A.; Sacchi, L.; De Bari, B.; Dagliati, A.; Fernandez-Llatas, C.; Montesi, M.; Marchetti, A.; Castellano, M.; Valentini, V.
Autori di Ateneo:
GATTA ROBERTO
Link alla scheda completa:
https://iris.unibs.it/handle/11379/546282
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
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