نتایج جستجو برای: منحنی idf
تعداد نتایج: 14033 فیلتر نتایج به سال:
OBJECTIVES To evaluate the prevalence and determinants of metabolic syndrome (MetS) among adults in a rural area of Northwest China. METHODS A population-based cross-sectional study was conducted in 2010 among adults aged 18 to 80 years in rural areas of Hanzhong, in Northwest China. Interview, physical and clinical examinations, and fasting blood glucose and lipid measurements were completed...
Whether different definitions of metabolic syndrome (MetS) are differently associated with colorectal adenocarcinoma (CA) by anatomical location is unclear. A population-based cohort study, the Cohort of Norway (CONOR) Study, was conducted in Norway from 1995 to 2010. Anthropometric measurements, blood samples, and lifestyle data were collected at recruitment. CAs were identified through linkag...
OBJECTIVE To compare the waist circumference cutoff points established by the American Heart Association and the National Heart, Lung and Blood Institute (AHA/NHLBI) with those of the International Diabetes Federation (IDF) for the screening of diabetes, hypertension, and metabolic syndrome in Mexican adults. MATERIAL AND METHODS This study comprised a subsample of the ENSANUT 2006. Subjects ...
Impact of metabolic syndrome definitions on prevalence estimates: a study in a Portuguese community.
This study compared the prevalence of metabolic syndrome (MS) according to World Health Organization (WHO), National Cholesterol Education Program Third Adult Treatment Panel (NCEP-ATP III), International Diabetes Federation (IDF) and American Heart Association/ National Heart, Lung and Blood Institute (AHA/NHLBI) definitions, to evaluate how well the different classifications agreed. The study...
INTRODUCTION Metabolic syndrome (MS) has a high prevalence in hemodialysis' patients and is a risk factor for cardiovascular disease, the leading cause of mortality in chronic kidney disease (CKD). Objectives To evaluate the prevalence of MS in patients on hemodialysis (HD) and the difference in its prevalence according to the NCEP-ATP III and IDF criteria. METHODS We evaluated HD patients in...
INTRODUCTION Obesity is a worldwide public health issue. Since the epidemiological behaviour of this disease is not well established in our country, the purpose of this study was to determinate its prevalence in the Maracaibo City, Zulia State- Venezuela. MATERIALS AND METHODS A cross-sectional study was undertaken using the data set from the Maracaibo City Metabolic Syndrome Prevalence Study...
UNLABELLED BACKGROUND The Metabolic syndrome (MS) which is a constellation of cardiometabolic risk factors including dyslipidaemia, hypertension, hyperglycaemia, central obesity, and endothelial dysfunction was hitherto relatively uncommon among Africans south of the Sahara. This study seeks to determine the prevalence of MS, its components and risk factors among a rural population in Ghana ...
Real-time recommendation of Twitter users based on the content of their profiles is a very challenging task. Traditional IR methods such as TF-IDF fail to handle efficiently large datasets. In this paper we present a scalable approach that allows real time recommendation of users based on their tweets. Our model builds a graph of terms, driven by the fact that users sharing similar interests wi...
This paper presents a new probabilistic model of information retrieval. The most important modeling assumption made is that documents and queries are defined by an ordered sequence of single terms. This assumption is not made in well known existing models of information retrieval, but is essential in the field of statistical natural language processing. Advances already made in statistical natu...
Jalilifard, Amir CaridVinicius Fernandes Mansano, Alex Cristo, Rogers S. Da Fonseca, Felipe Penhorate CarvalhoKeyword extraction has received an increasing attention as important research topic which can lead to have advancements in diverse applications such document context categorization, text indexing and classification. In this paper we propose STF-IDF, a novel semantic method based on TF-I...
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