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

Capitolo di libro
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. © Springer International Publishing AG 2017.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Elenco autori:
Gatta, Roberto; Lenkowicz, Jacopo; Vallati, Mauro; Rojas, Eric; Damiani, Andrea; Sacchi, Lucia; De Bari, Berardino; Dagliati, Arianna; Fernandez-Llatas, Carlos; Montesi, Matteo; Marchetti, Antonio; Castellano, Maurizio; Valentini, Vincenzo
Autori di Ateneo:
DAGLIATI ARIANNA
SACCHI LUCIA
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1234347
Titolo del libro:
AIME 2017: Artificial Intelligence in Medicine
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021642333&doi=10.1007/978-3-319-59758-4_42&partnerID=40&md5=19f7084aa479b231ff23bc81a329aeb9
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