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8 results found.

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Prediction in health domain using Bayesian networks optimization based on induction learning techniques
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Text / resource
Felgaer, Pablo et al · RI ITBA · 2019 · ISSN 0129-1831
"A Bayesian network is a directed acyclic graph in which each node represents a variable and each arc a probabilistic dependency; they are used to provide: a compact form to represent the knowledge and exible methods of ...
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Material complementario
Review of bayesian analysis in additive hazards model
Article
Article
Alvarez, Enrique Ernesto et al · Asian Journal of Probability and Statistics · 2019 · ISSN 2582-0230
In Survival Analysis, the focus of interest is a time $T^*$ until the occurrence of some event. A set of explanatory variables (denoted by a vector $Z$) is considered to analyze if there is a relationship between any of ...
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Open Access
Estimating the mutual information between two discrete, asymmetric variables with limited samples
Article
Article
Hernández Lahme, Damián Gabriel et al · Molecular Diversity Preservation International · 2019 · ISSN 1099-4300
Determining the strength of nonlinear, statistical dependencies between two variables is a crucial matter in many research fields. The established measure for quantifying such relations is the mutual information. However...
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Open Access
Remaining Useful Life Model and Assessment of Mechanical Products: A Brief Review and a Note on the State Space Model Method
Article
Article
Yawei Hu et al · KeAi Communications Co., Ltd · 2019 · ISSN 1000-9345
Abstract The remaining useful life (RUL) prediction of mechanical products has been widely studied for online system performance reliability, device remanufacturing, and product safety (safety awareness and safety improv...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Open Access
A systematic review and meta‐analyses of the association between 4 mycoplasma species and lower respiratory tract disease in dogs
Article
Article
Anisha Jambhekar et al · Oxford University Press · 2019 · ISSN 0891-6640
Abstract Background The pathogenic role of mycoplasmas in the lower respiratory tract (LRT) of dogs is debated, because mycoplasmas can be isolated from both healthy and sick dogs. Objectives To critically assess availab...
LCC TENDOlZldGVyaW5hcnkgbWVkaWNpbmU~Idioma English
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Open Access
Comparison of diagnostic techniques for detection of Giardia duodenalis in dogs and cats
Article
Article
Meriam N. Saleh et al · Oxford University Press · 2019 · ISSN 0891-6640
Abstract Background An evaluation of currently available in‐clinic diagnostic tests for Giardia duodenalis infection of dogs and cats has not been performed. In addition, there is discordance among published diagnostic...
LCC TENDOlZldGVyaW5hcnkgbWVkaWNpbmU~Idioma English
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Open Access
Demographic history and spatial genetic structure in a remnant population of the subtropical tree Anadenanthera colubrina var. cebil (Griseb.) Altschul (Fabaceae)
Article
Article
Goncalves, Alejandra Lorena et al · EDP Sciences · 2019 · ISSN 1286-4560
A remnant population ofAnadenanthera colubrinavar.cebilin Northern Argentina showed a mixed mating system, high genetic diversity, and moderate spatial genetic structure, which was stronger in saplings than in adults. De...
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El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.Disponible en 2 proveedores
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Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
Article
Article
Valery L. Feigin; Emma Nichols; Shazia Alam; Marlena S. Bannick; Ettore Beghi; Natacha Blake; William J. Culpepper; E. Ray Dorsey · The Lancet Neurology · 2019
BACKGROUND: Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 i...
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El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
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