Algoritmo no supervisado para clasificar niveles de riesgo de inmigración

Valles-Coral, Miguel; Lazo-Bartra, Ulises; Pinedo, Lloy; Navarro-Cabrera, Jorge Raul; Salazar-Ramírez, Luis; Ruiz-Saavedra, Fernando; Vidaurre-Rojas, Pierre; Ramirez, Segundo

doi:10.56294/dm202398

Data and Metadata

2023

DOI: 10.56294/dm202398

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Algoritmo no supervisado para clasificar niveles de riesgo de inmigración

Miguel Valles-Coral,

Ulises Lazo-Bartra,

Lloy Pinedo

et al.

Abstract: Introducción: la migración es un fenómeno social que afecta la estructura y distribución de la población, siendo motivada por la búsqueda de mejores oportunidades y condiciones de vida. En tal sentido, la migración irregular representa un desafío para los países receptores, dado que conlleva la entrada de individuos sin la documentación correspondiente, pudiendo comprometer la seguridad nacional y el control fronterizo de los países.Objetivo: evaluar la aplicación del algoritmo no supervisado DBSCAN para clasi… Show more

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Cited by 7 publications

References 26 publications

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Organizational climate and work performance of workers the educational institution "Jose Carlos Mariátegui" of the district of Villa María del Triunfo, Lima – 2020

Medina-Altamirano,

Enriquez-Gavilan,

Quispe-Solano

et al. 2023

Salud, Ciencia y Tecnología - Serie de Conferencias

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El presente estudio se propuso determinar la relación que existe entre el clima organizacional en el desempeño laboral de los trabajadores de la Institución Educativa José Carlos Mariátegui del distrito de Villa María del Triunfo, Lima - 2020. Para ello se planificó y realizó un análisis. Investigación de enfoque cuantitativo, de nivel descriptivo correlacional y de diseño no experimental, con una población de 73 docentes de la mencionada institución educativa, se aplicaron dos cuestionarios para la recolección de datos. Los resultados indican la existencia de una correlación significativa entre el clima organizacional y el desempeño docente a partir del hallazgo del coeficiente de correlación Rho de Spearman (0,767).

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Organizational climate and work performance of workers the educational institution "Jose Carlos Mariátegui" of the district of Villa María del Triunfo, Lima – 2020

Medina-Altamirano,

Enriquez-Gavilan,

Quispe-Solano

et al. 2023

Salud, Ciencia y Tecnología - Serie de Conferencias

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Using Artificial Intelligence for sign language translation: a systematic literature review

Ortiz-Leon,

Yupanqui-Allcca,

Meneses-Claudio

2023

Salud, Ciencia y Tecnología - Serie de Conferencias

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Introduction: in this systematic literature review, the use of artificial intelligence in sign language translation for people with hearing and speech loss was analyzed. This review aims to identify the results of the application of artificial intelligence to sign language translation. Method: 462 articles, original and conference papers in SCOPUS, until June 2023, and relying on a selection process based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, of which 26 studies met exclusion and inclusion criteria. Convolutional Neural Network (CNN) was the most widely implemented machine learning technique in the selected studies. Results: Many sign language systems were tested with various artificial intelligence algorithms and datasets on different continents to create new models and improve sign language translation accuracy. An increasing use of neural networks to achieve better sign language translation efficiency was identified, achieving results ranging from 90 % to 100 % accuracy. Conclusions: The application of artificial intelligence has greatly excelled in the field of Computer Science and has significantly improved the accuracy of sign language translation which has led to lower communication barriers between natural persons and persons with communication disabilities.

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Electronic medical record and its impact on health care and management. A systematic review between the years 2013 – 2023

Morales-Camargo,

Meneses-Claudio

2023

Salud, Ciencia y Tecnología - Serie de Conferencias

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The adoption of Electronic Health Records (EHR) has revolutionized the landscape of healthcare and healthcare management in recent decades. These technological systems have been the subject of extensive interest and study to understand their impact on improving patient care and efficiency in health management. For this reason, this study proposes to evaluate the impact of the use of electronic medical records on health care and management. In addition, the study includes a systematic review of the literature of research carried out between 2013 and 2023 on the use of the Electronic Health Record (EHR) focused on patient care and health management. The PICO methodology was used to formulate the search equation in the Scopus database. To select the studies, the PRISMA methodology was used through 3 stages: identification, screening, and inclusion, obtaining a total of 17 articles for review, according to inclusion and exclusion eligibility criteria. At the beginning of the systematic search, 56400 studies were found, 5220 were related to health care, 244 researchers work carried out between 2013 and 2023 focused on health management. Also, 17 studies obtained at the end of the third search stage, 42,11 % indicated that the EHR facilitates medical care, 21,05 % indicated that it provides better safety and greater patient satisfaction. On the other hand, 36,36 % and 45,45 % mentioned that with the EHR there is a good quality of care and better clinical management, respectively, compared to the use of paper medical records. In conclusion, the EHR offers benefits in medical care and facilitates decision making at the health management level. Its interoperability means that clinical management is integrated with all other medical systems to provide quality care, despite certain limitations that persist in the health field.

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Algoritmo no supervisado para clasificar niveles de riesgo de inmigración

Cited by 7 publications

References 26 publications

Organizational climate and work performance of workers the educational institution "Jose Carlos Mariátegui" of the district of Villa María del Triunfo, Lima – 2020

Organizational climate and work performance of workers the educational institution "Jose Carlos Mariátegui" of the district of Villa María del Triunfo, Lima – 2020

Using Artificial Intelligence for sign language translation: a systematic literature review

Electronic medical record and its impact on health care and management. A systematic review between the years 2013 – 2023

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