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Machine learning models for early dengue severity prediction
(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 ...
A machine learning model for triage in lean pediatric emergency departments
(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 ...
Evaluating Features Selection on NSL-KDD Data-Set to Train a Support Vector Machine-Based Intrusion Detection System
(Institute of Electrical and Electronics Engineers Inc., 2019)
The integrity of information and services is one of the more evident concerns in the world of global information security, due to the fact that it has economic repercussions on the digital industry. For this reason, big ...
Early prediction of severe maternal morbidity using machine learning techniques
(Springer Verlag, 2016)
Severe Maternal Morbidity is a public health issue. It may occur during pregnancy, delivery, or puerperium due to conditions (hypertensive disorders, hemorrhages, infections and others) that put in risk the women’s or ...
A machine learning model for occupancy rates and demand forecasting in the hospitality industry
(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 ...
Towards better BBB passage prediction using an extensive and curated data set
(Wiley-VCH Verlag, 2015)
In the present report, the challenging task of drug delivery across the blood-brain barrier (BBB) is addressed via a computational approach. The BBB passage was modeled using classification and regression schemes on a novel ...
Differential diagnosis of hemorrhagic fevers using ARTMAP
(Springer Verlag, 2012)
The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making ...
Differential diagnosis of hemorrhagic fevers using ARTMAP and an Artificial Immune System
(2013)
The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making ...
Analysis and Classification of Evoked Potentials in Response to Familiar and Unfamiliar Faces
(Institute of Electrical and Electronics Engineers Inc., 2018)
Brain activity during perception and recognition of faces have been studied by researchers with the purpose to develop brain-computer interfaces and to study neurological disorders. In this paper, we analyzed evoked ...
Bots and gender profiling on twitter using sociolinguistic features notebook for PAN at CLEF 2019
(CEUR-WS, 2019)
Unfortunately, in social networks, software bots or just bots are becoming more and more common because malicious people have seen their usefulness to spread false messages, spread rumors and even manipulate public opinion. ...
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.