Methods of Detecting Clinical Deviations with Process Mining: A Fuzzy Set Approach

Onderzoeksoutput: Scriptie › Dissertatie 1 (Onderzoek TU/e / Promotie TU/e)

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Originele taal-2	Engels
Kwalificatie	Doctor in de Filosofie
Toekennende instantie	Jheronimus Academy of Data Science
Begeleider(s)/adviseur	Kaymak, Uzay, Promotor Lu, Xu-dong, Promotor Genga, Laura, Co-Promotor
Datum van toekenning	3 okt 2024
Plaats van publicatie	Eindhoven
Uitgever	Technische Universiteit Eindhoven
Gedrukte ISBN's	978-94-6510-189-7
Status	Gepubliceerd - 3 okt 2024

Proefschrift.

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@phdthesis{5a306ebe70274b4faff59002a01d7d3c,

title = "Methods of Detecting Clinical Deviations with Process Mining: A Fuzzy Set Approach",

author = "Sicui Zhang",

note = "Proefschrift.",

year = "2024",

month = oct,

day = "3",

language = "English",

isbn = "978-94-6510-189-7",

series = "SIKS Dissertation Series",

publisher = "Technische Universiteit Eindhoven",

type = "Phd Thesis 1 (Research TU/e / Graduation TU/e)",

school = "Jheronimus Academy of Data Science",

}