Browsing by Author "González Veloza, José John Fredy"
Now showing items 1-20 of 27
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Análisis de modelo MA(1). Caso de estudio: Recaudo en una entidad financiera
Some financial entities generally must meet a series of loans to their customers. For this, these entities must have a correct planning of the cash that should be available without exceeding your quotas. For this, financial ... -
Análisis de riesgo de cartera a través de machine learning para predecir la propensión de incumplimiento en seguros
Insurers in Colombia obtain their income from the monthly premiums paid by their clients and this article analyzed a database of an insurance company that offers an individual life insurance product with a savings ... -
Análisis de Siniestralidad Peatonal A partir de la metodología de Machine Learning
Introduction The pedestrian accident rate is studied, being one of the leading causes of death in the world, a fact for which the World Health Organization called it a pandemic in its reports (World Health Organization ... -
Análisis estadístico para la predicción de la probabilidad de encontrar adultos mayores desaparecidos mediante la aplicación de modelos de aprendizaje automático
The disappearance of persons is an enigmatic and frequent phenomenon that can have negative consequences for the disappeared person, their family and society in general. Age-related cognitive changes and increased vulnerability ... -
Caracterización de la autopercepción de los docentes de ciencias y matemáticas sobre el desarrollo de sus competencias científicas.
Current research on science teaching focuses on the competencies of teachers for teaching in secondary and basic education in a technological and social context. In this research we explored the perception of science and ... -
Clasificación litológica a partir de registros eléctricos utilizando machine learning: caso de estudio formación otaraoa, Nueva Zelanda.
In the oil industry, when exploration well drilling, the uncertainty is excessively high since it is necessary to determine the characteristics of the subsurface and thus the possibilities that oil or gas exists. Indirect ... -
Diseño de un modelo de aprendizaje automático para la predicción de casos de infección por SARS-CoV-2 a partir de parámetros clínicos de laboratorio
The diagnosis of COVID-19 is crucial for the identification, isolation and treatment of contagious individuals, in order to mitigate the increase in cases as much as possible, and classify and prioritize them, according ... -
Factores de predicción de la aparición de personas mayores reportadas como desaparecidas, a partir de modelos de aprendizaje automático supervisado
Person missingness is an enigmatic and frequent phenomenon that can bring about negative consequences for the missing person, their family, and society in general. Therefore, it is necessary to better understand the ... -
Identificación y pronóstico de sífilis congénita mediante técnicas de Aprendizaje Automático para las localidades de Usme, Tunjuelito, Ciudad Bolívar y Sumapaz (Bogotá D.C.)
Congenital syphilis is a serious bacterial infection transmitted in a newborn from a mother who was not treated or was inadequately treated for syphilis during pregnancy; the consequences of this infection in the baby are ... -
Machine learning para la segmentación y optimización de los costos de adquisición de clientes
This work develops an important advance in the classification, prediction and segmentation of Casur affiliates, as part of its strategic objectives, facilitating the entity's planning. To do this, basic rule models were ... -
Medición de material óptico en Bogotá con la técnica de espectrofotometría uv-vis dentro del estándar nist para temperatura y humedad
Analysis of historical data of the temperature and humidity of the F'enix Technology and Development laboratory located in the city of Bogotá, this is accredited by ONAC (Colombian National Accreditation Body) to calibrate ... -
Modelo de aprendizaje automático para riesgo crediticio de microempresarios regionales según perfil socioeconómico
The credit portfolio is fundamental in a financial entity, therefore, before each credit delivered, the hope is to recover it in times agreed with the client, even so, the risk of non payment during the term of the ... -
Modelo de estimación de perfiles laborales exitosos. Caso de estudio: Entidad financiera
The following work was carried out with the need to create a tool that would allow us to predict possible successful profiles. It was carried out by non-linear estimation methods with machine learning methods as logistics ... -
Modelo de pronóstico para estimar el comportamiento de ventas en pospago digital, de una empresa del sector telecomunicaciones en Colombia
The objective of this work is to propose a statistical model that allows forecasting the monthly sales of postpaid aircraft of a telecommunications company, this is due to the fact that in Colombia in the processes of ... -
Modelo de scoring para crédito de consumo en una entidad del sector solidario
In Colombia, the Superintendence of the Solidarity Economy through the Basic Accounting Circular, Title IV, Chapter II regulates the SARC as the Credit Risk Management System that must be implemented and/or complemented ... -
Predicción de la capacidad de intercambio catiónico (CIC) en cultivos de aguacate empleando modelos machine learning
High food demand requires optimizing soil properties for better production. Cation exchange capacity (CEC) indicates the capacity of the soil to retain and exchange nutrients to plants and affects crop fertilization. A ... -
Predicción de la respuesta al tratamiento en pacientes con artritis reumatoide utilizando un modelo basado en machine learning
Rheumatoid arthritis (RA) is a chronic inflammatory, autoimmune and disabling disease. Response to treatment or sustained remission are the main goals in the management of these patients; however, a significant number of ... -
Predicción de la velocidad del viento mediante un modelo GradientBoostingTree de machine learning aplicable en la gestión del tránsito aéreo
Through this study, the Gradient Boosting Tree was identified as the best statistical model within a group of ten, which design was aimed at predicting wind intensity at different heights, for application in air traffic ... -
Prevalencia de desórdenes musculoesqueléticos y factores asociados en docentes de Odontología de Colombia, 2019-2020
The prevalence of MSD in dentists is relatively high; has been shown that the most affected regions are the back (36.3%– 60.1% of the cases of AMD) and neck (19.8–85%) and have been associated with risk factors such ... -
Pronostico de la precipitación para la zona de influencia de la estación agroclimática Yariguies,utilizando técnicas de Machine Learning
Predicting precipitation is ideal because it helps in the planning of agricultural activity and human, in the agronomic activity it could be determined if the hydric requirements of a crop will be presented and thus not ...
