UNLABELLED Real-world effectiveness data are needed to inform hepatitis C virus (HCV) treatment decisions. The uptake of ledipasvir/sofosbuvir (LDV/SOF) regimens across health care settings has been rapid, but variations often occur in clinical practice. The aim of this study was to assess sustained virologic response (SVR) of LDV/SOF±ribavirin (RBV) in routine medical practice. This observatio...

Flood has long been known as one of the most catastrophic natural hazards worldwide. Mapping flood-prone areas is an important part flood disaster management. In this study, a susceptibility mapping framework was developed based on novel integration nature-inspired algorithms into support vector regression (SVR). To end, various remote sensing (RS) and geographic information system (GIS) datase...

This paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word embeddings (for BiLSTM features). Experiments were carried out on several other candidate features, some of which were added to the SVR model. Parameter selection for the SVR mod...

In many real-world applications, unlabeled examples are inexpensive and easy to obtain. Semi-supervised approaches try to utilize such examples to boost the predictive performance. But previous research mainly focuses on classification problem, and semi-supervised regression remains largely under-studied. In this work, a novel semi-supervised regression method, semi-supervised LS-SVR (S2LS-SVR)...

We show that the Bayesian evidence framework can be applied to both-support vector regression (-SVR) and-support vector regression (-SVR) algorithms. Standard SVR training can be regarded as performing level one inference of the evidence framework, while levels two and three allow automatic adjustments of the regularization and kernel parameters respectively, without the need of a validation set.

We investigated the comparative performance of Frequency Domain Regression (FDR) and Support Vector Regression (SVR) for time-series prediction of Rossman Store Sales. Due to the extent of the data variables provided, SVR clearly outperformed FDR. Within SVR, our results reviewed that a polynomial kernel with regularization is most effective.

BACKGROUND Interleukin (IL) 28B single nucleotide polymorphisms can predict sustained virological response (SVR) in hepatitis C virus (HCV) patients following pegylated interferon-alpha (PEG IFN-α) and ribavirin treatment. AIM To design a meta-analysis to determine IL28B genotypes', rs12979860 CC and rs8099917 TT, correlation with SVR in PEG IFN-α/ribavirin-treated HCV patients. METHODS Met...

INTRODUCTION The treatment of hepatitis C virus (HCV) genotype 1 with ribavirin (RBV) and pegylated-interferon alpha (peg-IFNα) provides a low-level sustained virological response (SVR). Single nucleotide polymorphisms (SNPs) in the interleukin 28B (IL28B) gene have been identified as SVR predictors. Our aim was to establish an association between three IL28B SNPs (rs8099917, rs12979860, and rs...

AIM To investigate peg-interferon (peg-IFN) and ribavirin (RBV) therapy in Myanmar and to predict sustained virologic response (SVR). METHODS This single-center, open-label, study was conducted in Myanmar between 2009 and 2014. A total of 288 patients infected with HCV genotypes 1, 2, 3 and 6 were treated with peg-IFN alpha-2a (180 μg/wk) or alpha-2b (50 to 100 μg as a weight-based dose) and ...