dor_id: 4119462
506.#.#.a: Público
590.#.#.d: Los artículos enviados a la revista "Contaduría y Administración", se juzgan por medio de un proceso de revisión por pares
510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, SCImago Journal Rank (SJR)
561.#.#.u: https://www.fca.unam.mx/
650.#.4.x: Ciencias Sociales y Económicas
336.#.#.b: article
336.#.#.3: Artículo de Investigación
336.#.#.a: Artículo
351.#.#.6: http://www.cya.unam.mx/index.php/cya/index
351.#.#.b: Contaduría y Administración
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: http://www.cya.unam.mx/index.php/cya/article/view/3050/1589
100.1.#.a: Bravo, Maricela; González, Darinel; Reyes Ortiz, José A.; Sánchez, Leonardo
524.#.#.a: Bravo, Maricela, et al. (2020). Management of diabetic patient profiles using ontologies. Contaduría y Administración; Vol. 65, Núm. 5:. Recuperado de https://repositorio.unam.mx/contenidos/4119462
245.1.0.a: Management of diabetic patient profiles using ontologies
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Facultad de Contaduría y Administración, UNAM
264.#.0.c: 2020
264.#.1.c: 2020-11-27
653.#.#.a: I18, d83, c88, c63, c55; medical information management; ontology modeling; diabetic patient profile; decision making for healthcare; i18, d83, c88, c63, c55; medical information management; ontology modeling; diabetic patient profile; decision making for healthcare
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 4.0 Internacional, https://creativecommons.org/licenses/by/4.0/legalcode.es, fecha de asignación de la licencia 2020-11-27, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revista_cya@fca.unam.mx
884.#.#.k: http://www.cya.unam.mx/index.php/cya/article/view/3050
001.#.#.#: oai:cya.www.revistas-conacyt.unam.mx:article/3050
041.#.7.h: eng
520.3.#.a: In 2019 the International Diabetes Federation estimated that 12.8 million Mexicans had diabetes. The diabetes epidemic ranked second in causes of death in Mexico, a situation that was severely complicated during the second quarter of 2020 with the COVID-19 pandemic. Studies carried out by the Ministry of Public Health showed that the comorbidity of diabetes with COVID-19 has become a risk factor for serious complications, increasing the mortality rate. For this reason, it is necessary to develop personalized information management systems to support medical decision-making considering the specific characteristics of patients in Mexico. Information management of the diabetic patient profile begins with the investigation and registration of the relevant clinical data, data used by the physician to make the diagnosis and determine a personalized treatment. This article reports the development and integration of an ontology model for the management of diabetic patient profiles, incorporating medical ontologies. The results of the evaluation show the feasibility of using this integrated ontology for the management of diabetic patient presenting comorbidities. Likewise, a consistent ontological model is achieved, which complies with extensibility and reusability quality characteristics. In 2019 the International Diabetes Federation estimated that 12.8 million Mexicans had diabetes. The diabetes epidemic ranked second in causes of death in Mexico, a situation that was severely complicated during the second quarter of 2020 with the COVID-19 pandemic. Studies carried out by the Ministry of Public Health showed that the comorbidity of diabetes with COVID-19 has become a risk factor for serious complications, increasing the mortality rate. For this reason, it is necessary to develop personalized information management systems to support medical decision-making considering the specific characteristics of patients in Mexico. Information management of the diabetic patient profile begins with the investigation and registration of the relevant clinical data, data used by the physician to make the diagnosis and determine a personalized treatment. This article reports the development and integration of an ontology model for the management of diabetic patient profiles, incorporating medical ontologies. The results of the evaluation show the feasibility of using this integrated ontology for the management of diabetic patient presenting comorbidities. Likewise, a consistent ontological model is achieved, which complies with extensibility and reusability quality characteristics.
773.1.#.t: Contaduría y Administración; Vol. 65, Núm. 5: (2020)
773.1.#.o: http://www.cya.unam.mx/index.php/cya/index
046.#.#.j: 2021-10-20 00:00:00.000000
022.#.#.a: ISSN electrónico: 2448-8410; ISSN impreso: 0186-1042
310.#.#.a: Trimestral
264.#.1.b: Facultad de Contaduría y Administración, UNAM
758.#.#.1: http://www.cya.unam.mx/index.php/cya/index
doi: https://doi.org/10.22201/fca.24488410e.2020.3050
handle: 285c84ff7be74e
harvesting_date: 2021-06-14 11:43:00.0
245.1.0.b: Management of diabetic patient profiles using ontologies
last_modified: 2023-03-22 16:00:00
license_url: https://creativecommons.org/licenses/by/4.0/legalcode.es
license_type: by
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