Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission

dc.contributor.author	Ruiz-de-San-Martín, Rafael
dc.contributor.author	Morales-Hernández, Catalina
dc.contributor.author	Barbera, Carmen
dc.contributor.author	Martínez-Cortés, Carlos
dc.contributor.author	Banegas-Luna, Antonio-Jesús
dc.contributor.author	Segura-Méndez, Francisco-José
dc.contributor.author	Pérez-Sánchez, Horacio
dc.contributor.author	Morales-Moreno, Isabel
dc.contributor.author	Hernández-Morante, Juan-José
dc.date.accessioned	2025-11-18T12:52:30Z
dc.date.available	2025-11-18T12:52:30Z
dc.date.issued	2024-09
dc.identifier.citation	Ruiz De San Martín R, Morales-Hernández C, Barberá C, Martínez-Cortés C, Banegas-Luna AJ, Segura-Méndez FJ, et al. Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission. MAKE. 17 de julio de 2024;6(3):1653-66.
dc.identifier.uri	https://sms.carm.es/ricsmur/handle/123456789/21047
dc.language.iso	eng
dc.publisher	MDPI
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.title	Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission
dc.type	info:eu-repo/semantics/article
dc.relation.publisherversion	https://www.mdpi.com/2504-4990/6/3/80
dc.identifier.doi	10.3390/make6030080
dc.journal.title	Machine Learning and Knowledge Extraction
dc.identifier.essn	2504-4990