نتایج جستجو برای: diabetes network

تعداد نتایج: 961150  

Journal: :IJCIT (Indonesian Journal on Computer and Information Technology) 2020

2013
Santosh Kumar A. Kumaravel

In this paper, we present a study on the diagnosis of diabetes using different supervised learning algorithms of Artificial Neural Network. The network is trained using the data of about 250 diabetes patients between the age group,25 to 78 years. The performance of each algorithm is further compared through regression analysis. The prediction accuracy of the best algorithm is computed to valida...

2015
Ebenezer Obaloluwa Olaniyi Khashman Adnan

Diabetes Mellitus is a chronic, lifelong metabolism disorder that affects the ability of the body system to use the energy found in food. People living with high blood sugar will experience polyuria (frequent urination), which will make them to become increasingly thirsty (polydipsia) and hungry (polyphagia) .The improper management of this disease can lead to complication such as cardiovascula...

2014
Mukesh kumari Rajan Vohra

This paper helps in predicting diabetes by applying data mining technique. The discovery of knowledge from medical datasets is important in order to make effective medical diagnosis. The aim of data mining is to extract knowledge from information stored in dataset and generate clear and understandable description of patterns. Diabetes mellitus is a chronic disease and a major public health chal...

2010
Huriya Beyan Roosmarijn C. Drexhage Leonie van der Heul Nieuwenhuijsen Harm de Wit Roosmarijn C. Padmos Nanette C. Schloot Hemmo A. Drexhage Richard David Leslie

OBJECTIVE Monocytes in childhood-onset type 1 diabetes show distinct gene expression. We hypothesize that monocyte activation in monozygotic (MZ) twin pairs discordant for childhood-onset type 1 diabetes could reflect distinct stages of the disease process including diabetes susceptibility (differences between twins, both diabetic and nondiabetic, and control subjects) and/or disease progressio...

Journal: :AJNR. American journal of neuroradiology 2016
Y Cui S-F Li H Gu Y-Z Hu X Liang C-Q Lu Y Cai C-X Wang Y Yang G-J Teng

BACKGROUND AND PURPOSE Type 2 diabetes is associated with an increased risk of dementia. This study investigated the global connectivity patterns in the brains of patients with type 2 diabetes by using a functional MR imaging technique. MATERIALS AND METHODS Forty patients and 43 age-, sex-, and education-matched healthy controls underwent resting-state functional imaging in a 3T MR imaging u...

Journal: :CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne 2012
Braden J Manns Marcello Tonelli Jianguo Zhang David J T Campbell Peter Sargious Bharati Ayyalasomayajula Fiona Clement Jeffrey A Johnson Andreas Laupacis Richard Lewanczuk Kerry McBrien Brenda R Hemmelgarn

BACKGROUND Primary care networks are a newer model of primary care that focuses on improved access to care and the use of multidisciplinary teams for patients with chronic disease. We sought to determine the association between enrolment in primary care networks and the care and outcomes of patients with diabetes. METHODS We used administrative health care data to study the care and outcomes ...

Journal: :BMJ : British Medical Journal 2008
Christoph Stettler Sabin Allemann Simon Wandel Adnan Kastrati Marie Claude Morice Albert Schömig Matthias E Pfisterer Gregg W Stone Martin B Leon José Suárez de Lezo Jean-Jacques Goy Seung-Jung Park Manel Sabaté Maarten J Suttorp Henning Kelbaek Christian Spaulding Maurizio Menichelli Paul Vermeersch Maurits T Dirksen Pavel Cervinka Marco De Carlo Andrejs Erglis Tania Chechi Paolo Ortolani Martin J Schalij Peter Diem Bernhard Meier Stephan Windecker Peter Jüni

OBJECTIVE To compare the effectiveness and safety of three types of stents (sirolimus eluting, paclitaxel eluting, and bare metal) in people with and without diabetes mellitus. DESIGN Collaborative network meta-analysis. DATA SOURCES Electronic databases (Medline, Embase, the Cochrane Central Register of Controlled Trials), relevant websites, reference lists, conference abstracts, reviews, ...

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