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Autoregressive Moving Average Recurrent Neural Networks Applied to the Modelling of Colombian Exchange Rate
(International Journal of Artificial Intelligence, 2018)
Modeling and prediction of time series has required in recent times a lot of attention, due to the necessity to have to make with accurate tools a right decision and to surpass theoretical, conceptual and practical limitations ...
Penetrance rate estimation in autosomal dominant conditions
(SOC BRASIL GENETICARIBEIRAO PRETO, 2012)
Accurate estimates of the penetrance rate of autosomal dominant conditions are important, among other issues, for optimizing recurrence risks in genetic counseling. The present work on penetrance rate estimation from ...
Management of Recurrence of Ameloblastoma and Odontogenic Keratocyst: A Cross-Sectional Study
(Facultad de Odontología. Universidad de Costa Rica, 2020)
Recurrent TB: a systematic review and meta-analysis of the incidence rates and the proportions of relapses and reinfections
(BMJ Publishing Group, 2021)
BACKGROUND: A recurrent tuberculosis (TB) episode results from exogenous reinfection or relapse after cure. The use of genotyping allows the distinction between both. METHODS: We did a systematic review and meta-analysis, ...
A model of complete random molecular evolution by recurrent mutation
(1996)
A model for random molecular evolution based on recurrent mutation is proposed. Recurrent mutation replaces completely any original base in a nucleotidic site. This occurs if more than four times the number of reproductive ...
Regression splines in the time-dependent coefficient rates model for recurrent event data
(2008)
Many epidemiologic studies involve the occurrence of recurrent events and much attention has been given for the development of modeling techniques that take into account the dependence structure of multiple event data. ...
Recurrence after a first unprovoked cryptogenic/idiopathic seizure in children: A prospective study from Sao Paulo, Brazil
(Blackwell Publishing IncMaldenEUA, 2004)