pMineR: An Innovative R Library for Performing Process Mining in Medicine
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| Titre | pMineR: An Innovative R Library for Performing Process Mining in Medicine |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | 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 |
| Editor | TenTeije A, Popow C, Holmes JH, Sacchi L |
| Conference Name | ARTIFICIAL INTELLIGENCE IN MEDICINE, AIME 2017 |
| Publisher | Amer Med Informat Assoc; European Assoc Artificial Intelligence; Springer; IMIA |
| Conference Location | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
| ISBN Number | 978-3-319-59758-4; 978-3-319-59757-7 |
| Mots-clés | decision support system, Process mining, R |
| Résumé | 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. |
| DOI | 10.1007/978-3-319-59758-4_42 |