نتایج جستجو برای: association parameters
تعداد نتایج: 1065227 فیلتر نتایج به سال:
objective: to review her-2/neu and tp53 status and their correlation with all other prognostic clinicopathologic features of infiltrative ductal breast carcinomas. materials and methods: this cross sectional study was performed on 139 patients with infiltrative ductal breast carcinoma who were diagnosed between may 2000 and march 2006 at the surgery and pathology departments of alzahra hospital...
in this thesis our aim is to construct vector field in r3 for which the corresponding one-dimensional maps have certain discontinuities. two kinds of vector fields are considered, the first the lorenz vector field, and the second originally introced here. the latter have chaotic behavior and motivate a class of one-parameter families of maps which have positive lyapunov exponents for an open in...
sange siyah dam is located two kilometers down the kabod khani village. the environ of ghorrve city in kurdestan province. this is an clay core dam. in this dam instrumentation is performed in three section and consist of electrical piezometers, total pressure cells, settlement cells and so on. the main objective of instrumentation is to control the behavior of dam body and foundation, end else...
BACKGROUND Although some authors have suggested that there is some seasonal periodicity of hemoptysis, or relation to respiratory tract infections, the association of influenza or climatic parameters with hemoptysis has been poorly investigated. Our aim was to describe the relationship between influenza and climatic parameters with severe hemoptysis that required bronchial artery embolization (...
In data mining, association and correlation rules are inferred from data in order to highlight statistical dependencies among attributes. The metrics defined for evaluating these rules can be exploited to score relationships between attributes in Bayesian network learning. In this paper, we propose two novel methods for learning Bayesian networks from data that are based on the K2 learning algo...
The optic nerve head is involved in many ophthalmic disorders, including common diseases such as myopia and open-angle glaucoma. Two of the most important parameters are the size of the optic disc area and the vertical cup-disc ratio (VCDR). Both are highly heritable but genetically largely undetermined. We performed a meta-analysis of genome-wide association (GWA) data to identify genetic vari...
Copula models are often used to model the dependence structure in bivariate failure-time data. We consider a covariate effect regression method on the copula parameter for Archimedean copulas. The proposed method can handle three different data structures, namely typical bivariate data, semi-competing risks data and dependent truncation data. We derive large-sample properties of the proposed es...
OBJECTIVE To determine the relationship between blood lead concentration (Pb-S), and sociodemographic parameters among children. METHODS Blood lead concentration (Pb-S) was determined in 243 children (aged 5.94 +/- 2.78 years) in the district of Valencia. The required analysis was performed at the Center for Toxicological Investigations of University of Carabobo (CITUC), Venezuela, between Ja...
Nasal polyposis represents as a chronic hyperplastic sinusitis associated with chronic inflammation. In present retrospective study, we aimed to compare the Mean Platelet Volume (MPV), Red Cell Distribution Width (RDW) and Neutrophil to Lymphocyte Ratio (NLR) values of patients with nasal polyposis to those in healthy subjects. We included 35 nasal polyp patients and 45 healthy subjects into th...
A Bayesian network is an appropriate tool to work with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between different variables and can be automatically elicited from database by Bayesian network learning algorithms such as K2. In the data mining field, association rules can also be interpreted as expressing statistical depend...
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