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Mostrando ítems 21-30 de 253
Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data
(Elsevier, 2015-03-30)
[Abstract] Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer’s Disease (AD). This work is the first ...
Early Warning in Egg Production Curves from Commercial Hens: a SVM Approach
(Elsevier, 2016-01-02)
[Abstract] Artificial Intelligence allows the improvement of our daily life, for instance, speech and handwritten text recognition, real time translation and weather forecasting are common used applications. In the livestock ...
A generalized linear model for cardiovascular complications prediction in PD patients
(ACM, 2018)
[Abstract] This study was conducted using machine learning models to identify patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis patients. Nowadays is well known that ...
Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors
(MDPI AG, 2020-08-20)
{Abstract]
Markov Chain Molecular Descriptors (MCDs) have been largely used to solve Cheminformatics problems. The software to perform the calculation is not always available for general users. In this work, we developed ...
ANN multiscale model of anti-HIV Drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks
(American Chemical Society, 2014)
[Abstract] This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The ...
Study of classical conditioning in Aplysia through the implementation of computational models of its learning circuit
(Taylor & Francis, 2007-07-04)
The learning phenomenon can be analysed at various levels, but in this
paper we treat a specific paradigm of artificial intelligence, i.e. artificial
neural networks (ANNs), whose main virtue is their capacity to ...
Estudio fenomenológico sobre la relación entre el envejecimiento activo y la terapia ocupacional en centros de día y residencias de la ciudad de A Coruña
(Universidad de Chile, 2017-06-30)
[Resumen] Objetivos: El Envejecimiento Activo se centra en la participación de las personas mayores en los asuntos sociales, económicos, culturales, espirituales y cívicos, y no únicamente en la capacidad de estar activos ...
Applied Computational Techniques on Schizophrenia Using Genetic Mutations
(Bentham, 2013-03-01)
[Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ...
A review of 28 free animal tracking software: current features and limitations
(Springer Nature, 2021-09)
[Abstract]: Well-quantified laboratory studies can provide a fundamental understanding of animal behavior in ecology, ethology and ecotoxicology research. These types of studies require observation and tracking of each ...
Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo’s minato ward
(American Society of Civil Engineers, 2018-03)
[Abstract] This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo’s Minato Ward is used as a case study because it has been one of the ...