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Aplicación de técnicas de minería de procesos para descubrimiento de procesos

Authors: Felis Enguix, Iván; Martínez Álvarez-Castellanos, Rosa;

Aplicación de técnicas de minería de procesos para descubrimiento de procesos

Abstract

Caso de uso aplicado para un ejemplo real en el que CTN se ha basado para capacitarse en la implementación de algoritmos de minería de procesos sobre un conjunto de datos real del sector sanitario. Concretamente, nos centramos en las diferentes fases por las que atraviesa un paciente cuando realiza una consulta médica, de modo que el conjunto de datos se conforma de un listado de 100 pacientes con sus correspondientes citas médicas con los respectivos doctores y las diferentes pruebas a las que se someten. Estos datos se han recopilado para el proyecto MINEPRAFDT - Mining process & analysis for Digital Twin - Aplicación del Process Mining al modelado y análisis de proceso industriales con una alta componente manual para la creación de su Gemelo Digital, financiado por el Instituto de Fomento de la Región de Murcia con el apoyo de los Fondos FEDER.

{"references": ["https://medium.com/@c3_62722/process-mining-with-python-tutorial-a-healthcare-application-part-1-ae02027a050", "https://medium.com/@c3_62722/process-mining-with-python-tutorial-a-healthcare-application-part-3-cc9af986c122", "https://pm4py.fit.fraunhofer.de/", "https://www.futurelearn.com/courses/process-mining-healthcare"]}

Keywords

Grafo de seguimiento, Procesos sanitarios, Minería de procesos, Red de petri

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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