diabetes detection
blood glucose level on another day using the FPG or the OGTT to confirm the diagnosis of diabetes. Newer guidelines use hemoglobin A1c as a screening tool for prediabetes or diabetes (the test is normally used to measure blood glucose control in diabetes patients over several months)
Detection of diabetes mellitus in situ (occult diabetes )
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In recent years, further development and refinement of technique has permitted reproducible serum insulin determinations to become available for correlation, with plasma glucose levels during tolerance testing. In earlier presentations, 2 five basic insulin patterns were
Detection and management of lipid disorders in diabetes
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American Diabetes Association- Diabetes Care, 1993 Am Diabetes Assoc Altered concentrations of blood plasma lipoproteins are powerful predictors of coronary heart disease (CHD) and of other manifestations of atherosclerosis. Reduction of elevated low-density lipoprotein cholesterol (LDL cholesterol) and concomitant increases in high
Diabetes detection and care applying CBR techniques
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Diabetes is a lifelong (chronic) disease increase at a rapid rate because of sedate life style, changes into urban culture, unhealthy foods and lacking of physical activity. It is an incurable chronic disease, but through true diabetes screening and advanced sugar monitoring can
Atypical antipsychotic drugs and diabetes mellitus in the US Food and Drug Administration Adverse Event database: a systematic Bayesian signal detection
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Background: Prior literature suggests that the risk of diabetes -related adverse events (DRAEs) differs between atypical antipsychotics. The present study evaluated the potential association between atypical antipsychotics or haloperidol and diabetes using data from the
Detection and management of lipid disorders in diabetes
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Altered concentrations of blood plasma lipoproteins are powerful predictors of coronary heart disease (CHD) and of other manifestations of atherosclerosis. Reduction of elevated low-density lipoprotein cholesterol (LDL cholesterol) and concomitant increases in high
Early detection of diabetes retinopathy by new algorithms for automatic recognition of vascular changes
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Diabetes mellitus often results in diabetic retinopathy caused by pathological changes of the retinal vessel tree. Early detection of these changes can delay the disease. Image processing can reduce the workload of screeners and can play a central role in quality
Detection of neuropathy using a sudomotor test in type 2 diabetes
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Background: The sudomotor test is used to evaluate the postganglionic cholinergic sympathetic nervous system. The aim of this study was to evaluate the efficacy of a sudomotor testing device to detect peripheral distal neuropathy (PDN) and cardiac
A statistical evaluation of different methods for the detection of arteriosclerosis in diabetes mellitus
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The purpose of this paper is to report the results of a statistical evaluation of different methods for the detection of arteriosclerosis in diabetes mellitus. This investigation was prompted by the high and increasing incidence of vascular disease among diabetics and its
Diabetes detection using deep learning approach
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Deep learning is branch of Artificial Intelligence. It has same architecture as neural network but has extra hidden layers. Deep learning had shown more data processing power or capability than the shallow architecture. It had shown more accuracy in results. The Deep
The preservation of blood sugar for diabetes detection
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RESULTS The mean of the original four blood sugar determinations was used as an estimate of the true blood sugar level, as a base line to determine the efficacy of the four preservatives. An additional experiment showing the immediate effects of sodium fluoride
Detection and management of lipid disorders in diabetes
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Altered concentrations of blood plasma lipoproteins are powerful predictors of coronary heart disease (CHD) and of other manifestations of atherosclerosis. Reduction of elevated low-density lipoprotein cholesterol (LDL cholesterol) and concomitant increases in high
Design of classifier for detection of diabetes using neural network and fuzzy k-nearest neighbor algorithm
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Diabetes Mellitus is one of the growing vitally fatal diseases world-wide. A design of classifier for the detection of Diabetes Mellitus with optimal cost and precise performance is the need of the age. The current project implementation looks further to train self organizing
Early detection of diabetes from health claims
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Early detection of Type 2 diabetes poses challenges to both the machine learning and medical communities. Current clinical practices focus on narrow patientspecific courses of action whereas electronic health records and insurance claims data give us the ability to
End of the spectrum: a breath of fresh air in diabetes detection
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While millions of Americans an estimated 17 mil- lion suffer from diabetes , astonishingly there are even millions more who are unaware they even have contracted the potentially fatal disease. While some might have been misdiagnosed, there are millions suffering from symptoms
The implications of the detection of proteinuria and microalbuminuria in insulin and non‐insulin dependent diabetes
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The link between diabetes mellitus and proteinuria was first recognised in 1770 by Cotunnius who reported that the urine from a diabetic patient coagulated on heating. Although this association was repeatedly confirmed by several early workers,it was the
Wrapper subset evaluation facilitates the automated detection of diabetes from heart rate variability measures
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Diabetes affects almost one million Australians, and is associated with many other conditions such as vision loss, heart failure and stroke. Any improvement in early diagnosis would therefore represent a significant gain with respect to reducing the morbidity and
Review of automated detection for diabetes retinopathy using fundus images
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Diabetic retinopathy is a medical condition where the retina is damaged because fluid leaks from blood vessels into the retina. Ophthalmologists recognize diabetic retinopathy based on features, such as blood vessel area, exudes, hemorrhages, microaneurysms and texture
Diagnosis of diabetes using computer methods: Soft computing methods for diabetes detection using Iris
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Complementary and Alternative Medicine (CAM) techniques are quite popular and effective for chronic diseases. Iridology is more than 150 years old CAM technique which analyzes the patterns, tissue weakness, color, shape, structure, etc. for disease diagnosis. The
A novel algorithm to diagnosis type II diabetes mellitus based on association rule mining using MPSO-LSSVM with outlier detection method
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Abstract Background/Objectives: The execution of Frequent Pattern Growth algorithm on medical data is difficult. Association rule based classification is an interesting area focused that can be utilized for early diagnosis. Methods/Statistical analysis: Discretization phase is
Detection of mild diabetes mellitus by feeding glucose to induce glycosuria
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PH Futcher, G Sauve- Diabetes , 1953 Am Diabetes Assoc General Plan of Study: The usual procedure was to give the experimental screening test for diabetes on the first day of study; to have tests of blood and urine before breakfast the following morning; and, in selected cases, a glucose tolerance test within the next week. The