Predicting Length of Stay for Orthopedic Patients: Machine Learning Approach

Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/152891

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DC Field	Value	Language
dc.creator	Guilherme de Pinho e Silva Basílio Paulino
dc.date.accessioned	2025-11-07T07:31:37Z	-
dc.date.available	2025-11-07T07:31:37Z	-
dc.date.issued	2023-09-28
dc.date.submitted	2023-09-25
dc.identifier.other	sigarra:643485
dc.identifier.uri	https://hdl.handle.net/10216/152891	-
dc.language.iso	eng
dc.rights	embargoedAccess
dc.subject	Economia e gestão
dc.subject	Economics and Business
dc.title	Predicting Length of Stay for Orthopedic Patients: Machine Learning Approach
dc.type	Dissertação
dc.date.embargo	2033-09-27
dc.contributor.uporto	Faculdade de Economia
dc.identifier.doi	10.34626/ebth-sx27
dc.identifier.tid	203555627
dc.subject.fos	Ciências sociais::Economia e gestão
dc.subject.fos	Social sciences::Economics and Business
thesis.degree.discipline	Mestrado em Gestão
thesis.degree.grantor	Faculdade de Economia
thesis.degree.grantor	Universidade do Porto
thesis.degree.level	1
rcaap.embargofct	Para preparação dos resultados para publicação em revista científica internacional
Appears in Collections:	FEP - Dissertação

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