Listar Investigaciones por autor "Caicedo-Torres W."
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A machine learning model for occupancy rates and demand forecasting in the hospitality industry
Caicedo-Torres W.; Payares F. (Springer Verlag, 2016)Occupancy rate forecasting is a very important step in the decision-making process of hotel planners and managers. Popular strategies as Revenue Management feature forecasting as a vital activity for dynamic pricing, and ... -
A machine learning model for triage in lean pediatric emergency departments
Caicedo-Torres W.; García G.; Pinzón H. (Springer Verlag, 2016)High demand periods and under-staffing due to financial constraints cause Emergency Departments (EDs) to frequently exhibit over-crowding and slow response times to provide adequate patient care. In response, Lean Thinking ... -
Differential diagnosis of dengue and chikungunya in colombian children using machine learning
Caicedo-Torres W.; Paternina-Caicedo Á.; Pinzón-Redondo H.; Gutiérrez J. (Springer Verlag, 2018)Dengue and chikungunya are vector borne diseases endemic in tropical countries around the world, with very similar clinical presentation, which makes it hard for physicians to tell them apart. Here we propose the use of ... -
Features of dengue and chikungunya infections of colombian children under 24 months of age admitted to the emergency department
Paternina-Caicedo A.; De la Hoz-Restrepo F.; Díaz-Quijano F.; Caicedo-Torres W.; Badillo-Viloria M.A.; Bula-Anichiarico D.; Alvis-Guzmán N.; Mattar S.; Constenla D.; Pinzón-Redondo H. (Oxford University Press, 2018)We aimed to assess clinical and laboratory differences between dengue and chikungunya in children <24 months of age in a comparative study. We collected retrospective clinical and laboratory data confirmed by NS1/IgM for ... -
In silico drug repurposing for the identification of potential candidate molecules against arboviruses infection
Montes-Grajales D.; Puerta-Guardo H.; Espinosa D.A.; Harris E.; Caicedo-Torres W.; Olivero-Verbel J.; Martínez-Romero E. (Elsevier B.V., 2020)Arboviral diseases caused by dengue (DENV), Zika (ZIKV) and chikungunya (CHIKV) viruses represent a major public health problem worldwide, especially in tropical areas where millions of infections occur every year. The aim ... -
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
Caicedo-Torres W.; Gutierrez J. (Academic Press Inc., 2019)To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and ... -
Kernel-based machine learning models for the prediction of dengue and chikungunya morbidity in Colombia
Caicedo-Torres W.; Montes-Grajales D.; Miranda-Castro W.; Fennix Agudelo, Mary Andrea; Agudelo-Herrera N. (Springer Verlag, 2017)Dengue and Chikungunya fever are two viral diseases of great public health concern in Colombia and other tropical countries as they are both transmitted by Aedes mosquitoes, which are endemic to this area. In recent years, ... -
Machine learning models for early dengue severity prediction
Caicedo-Torres W.; Paternina Á.; Pinzón H. (Springer Verlag, 2016)Infection by dengue-virus is prevalent and a public health issue in tropical countries worldwide. Also, in developing nations, child populations remain at risk of adverse events following an infection by dengue virus, as ... -
Materials requirements planning through an application based on particle swarm optimization
Padron-Cano J.; Coronado Hernández, Jairo Rafael; Caicedo-Torres W.; Mercado-Caruso N.; Ospino-Vadiris F.V. (Revista Espacios, 2017)This work approaches the Material Requirements Planning (MRP) problem through a Particle Swarm Optimization (PSO) based algorithm. Results from various computer experiments are carried out considering different production ...
Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.