dor_id: 4149302

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

561.#.#.u: https://www.icat.unam.mx/

650.#.4.x: Ingenierías

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/2116/1035

100.1.#.a: En Naaoui, Amine; Gallab, Maryam; Kaicer, Mohammed

524.#.#.a: En Naaoui, Amine, et al. (2023). An Intelligent Model for Improving Risk Assessment in Sterilization Units Using Revised FMEA, Fuzzy Inference, k-Nearest Neighbors and Support Vector Machine.. Journal of Applied Research and Technology; Vol. 21 Núm. 5, 2023; 772-786. Recuperado de https://repositorio.unam.mx/contenidos/4149302

245.1.0.a: An Intelligent Model for Improving Risk Assessment in Sterilization Units Using Revised FMEA, Fuzzy Inference, k-Nearest Neighbors and Support Vector Machine.

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-10-30

653.#.#.a: Risk assessment; FMEA; fuzzy inference system; support vector machine; k-nearest neighbor; sterilization unit

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/2116

001.#.#.#: 074.oai:ojs2.localhost:article/2116

041.#.7.h: eng

520.3.#.a: The complex environment of the hospital and the critical operations practiced in the medical departments, such as the sterili zation unit, require implementing risk assessment plans as fundamental support for effective management. The Failure Modes Analysis and Effects (FMEA) method is one of the popular methods used to perform the risk assessment process. Fuzzy logic and machine learning techniques provide robust devices that improve the efficiency of several risk assessment methods, such as FMEA. Hence, this study aims to enhance the efficiency of risk assessment in hospital sterilization units using an intelligent model based on revised FMEA, an improved FMEA adaptable to the studied system, fuzzy inference system, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) techniques. An interesting application of the model in the central sterilization unit of the largest university hospital is presented. The performance of the proposed model is evaluated at the end to prove its efficiency.

773.1.#.t: Journal of Applied Research and Technology; Vol. 21 Núm. 5 (2023); 772-786

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

300.#.#.a: Páginas: 772-786

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.22201/icat.24486736e.2023.21.5.2116

harvesting_date: 2023-11-08 13:10:00.0

856.#.0.q: application/pdf

file_creation_date: 2023-10-13 02:31:35.0

file_modification_date: 2023-10-13 02:31:47.0

file_creator: Yolanda G.G.

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