The purpose of this study is to evaluate a direct measure of calcium burden by using dual-energy computed tomography (DECT) during contrast-enhanced coronary imaging, potentially eliminating the need for an extra noncontrast X-ray acquisition. The ambiguity of separation of calcium from contrast material on contrast-enhanced images was solved by using virtual noncontrast images obtained by DECT...

Oneofthemajorchallengesforthecloudprovideristheefficientutilizationofthephysicalresources. Toachievethis,thispaperproposedaBalanceResourceUtilization(BRU)approachthatnotonly minimizestheresourceleakagebutalsoincreasestheresourceutilizationandoptimizethesystem performance.Theproposedapproachconsider tworesources i.e.,CPUandmemory,asdecisi...

In this study, three computational methods (log-probit, one-way analysis of variance and linear regression analysis) were applied to statistically determine and compare a minimal dose of the antiepileptic drug--levetiracetam (LEV), which significantly increased the threshold for maximal electroconvulsions in mice. Results analyzed with log-probit method revealed that such a dose for LEV was 50 ...

The open-loop Threshold Model, proposed by Tong [30], is a piecewise-linear stochastic regression model useful for modeling conditionally normal response time-series data. However, in many applications, the response variable is conditionally non-normal, e.g. Poisson or binomially distributed. We generalize the open-loop Threshold Model by introducing the Generalized Threshold Model (GTM). Speci...

Epidemiologists frequently encounter studies with ordered responses. Standard ordered response logit models, such as the continuation ratio model, constrain exposure to have a homogeneous effect across thresholds of the ordered response. We demonstrate a method for fitting regression models for unconstrained, partially or fully constrained continuation odds ratios using a 'person-threshold' dat...

The open-loop Threshold Model, proposed by Tong [23], is a piecewise-linear stochastic regression model useful for modeling conditionally normal response time-series data. However, in many applications, the response variable is conditionally non-normal, e.g. Poisson or binomially distributed. We generalize the open-loop Threshold Model by introducing the Generalized Threshold Model (GTM). Speci...

We consider the estimation of regression coefficients in a high-dimensional linear model. For regression coefficients in lr balls, we provide lower bounds for the minimax lq risk and minimax quantiles of the lq loss for all design matrices. Under an l0 sparsity condition on a target coefficient vector, we sharpen and unify existing oracle inequalities for the Lasso and Dantzig selector. We deri...

Early and appropriate blood culture sampling is recommended as a standard of care for patients with suspected bloodstream infections (BSI) but is rarely taken into account when quality indicators for BSI are evaluated. To date, sampling of about 100 to 200 blood culture sets per 1,000 patient-days is recommended as the target range for blood culture rates. However, the empirical basis of this r...

OBJECTIVE To predict the development of carcinoid heart disease (CHD), which is a life-threatening complication of certain neuroendocrine tumors. To this end, a novel type of Bayesian classifier, known as the noisy-threshold classifier, is applied. MATERIALS AND METHODS Fifty-four cases of patients that suffered from a low-grade midgut carcinoid tumor, of which 22 patients developed CHD, were...

Di erences in the size distribution of malignant and benign pulmonary nodules in databases used for training and testing characterization systems have a signi cant impact on the measured performance. The magnitude of this e ect and methods to provide more relevant performance results are explored in this paper. Twoand three-dimensional features, both including and excluding size, and two classi...