نتایج جستجو برای: false positive reaction fpr
تعداد نتایج: 1080794 فیلتر نتایج به سال:
OBJECTIVE The goal of the OSCAR programme is to evaluate the performances of genotypic HIV-1 tropism testing in clinical practice using the enhanced sensitivity version of Trofile (ESTA) as reference-assay. METHODS HIV-1 coreceptor-usage was assessed using plasma samples from 406 HIV-1 infected patients by ESTA and by gp120 V3 population-sequencing followed by Geno2pheno (set at a False Posit...
OBJECTIVES To estimate improvements to four antenatal screening tests for Down's syndrome (first trimester Combined, second trimester Quadruple, and first and second trimester Integrated and Serum Integrated tests) based on adding ductus venosus pulsatility index (DVPI), fetal nasal bone examination (NBE) and serum placental growth factor (PlGF). SETTING Statistical analysis of data from seve...
Breast cancer has become one of the leading mortality causes among women [1]. The chance of survival significantly grows if it is detected early; so a screening program was started in 2002. The high number of mammograms requires computer-aided diagnostics. The main goal is to help the work of radiologists by finding true negative cases, thus they only have to examine suspected positive ones. So...
We present a new algorithm for simulating reaction-diffusion equations at single-particle resolution. Our algorithm is designed to be both accurate and simple to implement, and to be applicable to large and heterogeneous systems, including those arising in systems biology applications. We combine the use of the exact Green's function for a pair of reacting particles with the approximate free-di...
Early detection of breast cancer cells can be predicted through a precise feature extraction technique that produce efficient features. The application Gabor filters, gray level co-occurrence matrices (GLCM) and other textural techniques have proven to achieve promising results but were often characterized by high false-positive rate (FPR) false-negative (FNR) with computational complexities. T...
The learned Bloom filter (LBF) combines a machine learning model (learner) with traditional to improve the false positive rate (FPR) that can be achieved for given memory budget. LBF has recently been generalized by making use of full spectrum learner’s prediction score. However, in all those designs, is fixed. In this letter, first time, design LBFs proposed and evaluated considering as one va...
Abstract The doctrinal paradox is analysed from a probabilistic point of view assuming simple parametric model for the committee’s behaviour. well known premise-based and conclusion-based majority rules are compared in this model, by means concepts false positive rate (FPR), negative (FNR) Receiver Operating Characteristics (ROC) space. We introduce also new rule that we call path-based , which...
Constraint-based Bayesian network (BN) structure learning algorithms typically control the False Positive Rate (FPR) of their skeleton identification phase. The False Discovery Rate (FDR), however, may be of greater interest and methods for its utilization by these algorithms have been recently devised. We present a unified approach to BN skeleton identification FDR estimation and control and e...
This paper investigates the following problem: how to find a GSMem malicious activity effectively. To this end, this paper puts forward a new method based on Artificial Intelligence (AI). At first, we use a large quantity of data in terms of frequencies and amplitudes of some electromagnetic waves to train our models. And then, we input a given frequency and amplitude into the obtained models, ...
OBJECTIVE The impact of HIV-1 tropism on the emergence of non-AIDS events was evaluated in a cohort of 116 antiretroviral therapy (ART) responder patients. METHODS The patients were followed for the emergence of hypertension, renal impairment, metabolic and bone disorders (defined as non-AIDS events) each 8 weeks at standard visits. A V3 plasma sequence genotype analysis was performed at the ...
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