نتایج جستجو برای: using bayesian model

تعداد نتایج: 4843667  

Journal: :مهندسی برق و الکترونیک ایران 0
ali mohammad-djafari

in this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. then a common general forward modeling for them is given and the corresponding inversion problem is presented. then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a baye...

Journal: :iranian journal of psychiatry 0
maryam rahmati department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran mehdi rahgozar department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran farbod fadaei department of psychiatry, university of social welfare and rehabilitation sciences, tehran, iran enayatollah bakhshi department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran leila cheraghi department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran

objectives : schizophrenia patients often experience relapses once and even more with no limit on number of relapses. the time among relapses are rarely considered in studies. the aim of this study was to identify some risk factors of time to elapses in schizophrenic patients with recurrent events model in survival analysis. methods : in a retrospective longitudinal study, the medical records o...

Journal: :Applied Artificial Intelligence 2000

Journal: :Journal of Computational Physics 2021

In this paper we propose a new sampling-free approach to solve Bayesian model inversion problems that is an extension of the previously proposed spectral likelihood expansions (SLE) method. Our approach, called stochastic embedding (SSLE), uses recently presented (SSE) method for local expansion refinement approximate function at core problems. We show that, similar SLE, results in analytical e...

زایری, فرید, صالحی, مسعود, وهابی, نسیم, یاسری, مهدی,

Background: Diabetes is one of the most common chronic diseases of this century. Retinopathy and makulopati are two most important implications of diabetes. In this study, Bayesian logistic regression is used to assess the factors affected on diabetic- retinopathy. Methods: Study population of this cross-sectional study contains all diabetic patients in Tehran of which 623 of them were selec...

صفائی, علی اصغر, فیض منش, فرزانه,

Background and Objectives: Pulmonary embolism is a potentially fatal and prevalent event that has led to a gradual increase in the number of hospitalizations in recent years. For this reason, it is one of the most challenging diseases for physicians. The main purpose of this paper was to report a research project to compare different data mining algorithms to select the most accurate model for ...

Journal: :journal of advances in computer research 0
behzad nakhkob student of department of computer science, south tehran branch, islamic azad university, tehran, iran maryam khademi assistant professor department of applied mathematics, south tehran branch, islamic azad university, tehran, iran

advanced data mining techniques can be used in universities classification, discovering specific patterns in the determination of successful students, design of a plan or a teaching method and finding critical points of financial management. in this article, we proposed a method to predict the rate of student enrollment in coming years. the data for this research were from data sets of voluntee...

ژورنال: طلوع بهداشت یزد 2018

Abstract Introduction: The sense of smell gives unexplainable quality to human life. The  impairment In this sense will create lot of problems. MRI and SPECT are two way of olfactory evaluation that none of the both is not Gold standard. Bayesian latent class model is the correct way to determine the diagnostic value of these tests. Methods: MRI and SPECT tests performed on 63 patients e...

Journal: :تولیدات دامی 0
فاطمه جعفری دانشجوی کارشناسی ارشد، گروه علوم دامی، دانشکدۀ علوم دامی و صنایع غذایی، دانشگاه کشاورزی و منابع طبیعی رامین، رامین، خوزستان ـ ایران محمد تقی بیگی نصیری استاد، گروه علوم دامی، دانشکدۀ علوم دامی و صنایع غذایی، دانشگاه کشاورزی و منابع طبیعی رامین، رامین، خوزستان ـ ایران جمال فیاضی دانشیار، گروه علوم دامی، دانشکدۀ علوم دامی و صنایع غذایی، دانشگاه کشاورزی و منابع طبیعی رامین، رامین، خوزستان ـ ایران محمد علی لغوی کارشناسی ارشد، بخش امور دام، سازمان جهاد کشاورزی استان فارس، شیرازـ ایران

genetic parameters direct and maternal in fars native flows using the bayesian statistical approach, was estimation with consider body weight at a day of age (bw1), body weight at eight weeks of age (bw8), body weight at 12 weeks of age (bw12), age at sexual maturity (asm), egg number (egp) and mean egg weight during 28th, 30th and 32nd week ages (av283032) fars native flows. genetic parameters...

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