نتایج جستجو برای: diabetes network
تعداد نتایج: 961150 فیلتر نتایج به سال:
چکیده: هدف: هدف از پژوهش حاضر مقایسه حافظه (کوتاه مدت، بلند مدت و بصری) در بیماران مبتلا به دیابت نوع 2 و افراد سالم می باشد. روش: روش پژوهش از نوع علی مقایسه ای است. جامعه آماری این تحقیق را کلیه بیماران مبتلا به دیابت نوع 2 ساکن شهرستان پارس آباد و روستاهای اطراف آن تشکیل می دهند. از بین این جامعه، 40 نفر از بیماران مراجعه کننده به پزشکان متخصصین داخلی و پزشکان خانواده که در شهرستان پارس آبا...
Introduction: Due to the large amount of data on people with diabetes, it is very difficult to extract the predictors of diabetes. Data mining science has achieved this important goal with the help of its effective methods with the aim of discovering the prediction of diseases and has helped physicians and medical staff in predicting and diagnosing diseases. Methods: The present research is...
Background & Aim: A main problem in diabetes is its timely and accurate diagnosis. This study aimed at diagnosing diabetes using data mining methods. Methods: The present study is an analytical investigation including 768 individuals with 8 attributes. Artificial neural networks and fuzzy neural networks were used to diagnose the diabetes. To achieve a real accuracy, the Kfold method was used ...
Background: Social capital is an important interpersonal organizational resource that may affect health behaviors and seems to be an important factor in chronic diseases. Considering the lack of evidence on this topic, in the present study, we aimed at investigating the association between components of social capital, socioeconomic condition, and controlling Type 2 diabetes mellitus in Iran. ...
Introduction: Gestational diabetes is associated with many short-term and long-term complications in mothers and newborns; hence, the detection of its risk factors can contribute to the timely diagnosis and prevention of relevant complications. The present study aimed to design and compare Gestational diabetes mellitus (GDM) prediction models using artificial intelligence algorithms. Materials ...
Background: Diabetes mellitus is a high prevalent disease among the population, and if not controlled, it causes complications and irreparable damage to the eye and cause blindness. This study goal is to investigate the predictive power of multiple logistic regression model and the Artificial Neural Network Multi-layer Perceptron (MLP) in determining patients with and without diabetic...
In the aim of identifying significant transcriptional regulatory networks in the liver contributing to diabetes, we have performed comprehensive active regulatory network survey by network screening in 4weeks (w), 8-12w, and 18-20w Goto-Kakizaki (GK) rat liver microarray data. The comprehensive survey of the consistency between the networks and the measured data by the network screening approac...
Background : Diabetes and hypertension are from important non-communicable diseases in the world and their prevalence are very important for health authorities. The objective of this study was to compare the predictive precision of joint logistic regression (LR) and artificial neutral network (ANN) in concurrent diagnosis of diabetes and hypertension. Methods : This cross-sectional study wa...
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