[PDF] Top 20 Performance of Datamining Techniques in the Prediction of Chronic Kidney Disease
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Performance of Datamining Techniques in the Prediction of Chronic Kidney Disease
... the performance of three data mining techniques for predicting kidney dialysis ...mining techniques (Artificial Neural Networks, Decision tree and Logical Regression) were used to elicit ... See full document
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Validation of two prediction models of undiagnosed chronic kidney disease in mixed-ancestry South Africans
... To our knowledge, our study is the first conducted in Sub-Saharan Africa on CKD risk prediction models. In the South African cohort of Bellville South, the two models had a good-to-acceptable discrimination for ... See full document
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Rule Based Approach for Prediction of Chronic Kidney Disease: A Comparative Study
... The prevalence of ckd in the dataset was about 62.5 % and that of non-ckd 37.5 %. We have chosen rule based classification method. The step-by-step workflow of the detection process is depicted in Figure 2. In order to ... See full document
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A STUDY OF FEATURES AND DATAMINING TECHNIQUES USED FOR PLANT LEAF DISEASE PREDICTION IN AGRICULTURAL INFORMATICS
... the performance of salad leaf disease detection by using hybrid of machine learning and Hyper Spectral ...classification disease affected salad leaves are performing by various classifiers such as ... See full document
5
Chronic Kidney Disease Prediction based on Naive Bayes Technique
... and techniques that once applied to the present processed knowledge, provides information to aid professionals for creating acceptable choices and enhancing the performance of patient management ... See full document
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Comparison Of Datamining Techniques For Prediction Of Breast Cancer
... mining techniques to predict breast cancer. The prediction models used are Naive Bayes, RBF Network and ...confidence. Performance of the used models are also evaluated, highest accuracy of about ... See full document
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Fused Features Classification for the Effective Prediction of Chronic Kidney Disease
... The paper presents an application of data mining for improving the accuracy of prediction of a disease state by selecting the most relevant features associated with it. The experiments are performed on ... See full document
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Data Mining Techniques Used To Predict Chronic Kidney Disease
... Figure 1. shows performance vector containing list of performance criteria values. Accuracy refers to number of correct predictions or how precise the dataset is being classified. Kappa takes into account ... See full document
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Estimating glomerular filtration rates in elderly Chinese patients with chronic kidney disease: performance of six modified formulae developed in Asian populations
... Objectives: The aim of the present study was to evaluate modified glomerular filtration rate (GFR) prediction formulae in an elderly Chinese population with chronic kidney disease (CKD). ... See full document
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Weather Prediction with Datamining Techniques
... standard performance metrics, and the algorithm which gave the best results used to generate classification rules for the mean weather ...weather prediction program and the results compared with actual ... See full document
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Cancer Prediction System Using Datamining Techniques
... Cancer prediction system estimates the risk of the breast, skin, and lung cancers by examining a number of user- provided genetic and non-genetic ...This prediction system is available in online, people can ... See full document
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Data Mining Techniques to Predict Chronic Kidney Disease
... of Chronic Kidney Disease to Kidney Failure” have developed a system to An Estimated 23 Million people in the United States ...have chronic kidney disease (CKD) and are at ... See full document
7
Physiological complications in chronic kidney disease
... of disease specific clinical action ...active disease, malignant hypertension (ii) slowing progression (iii) reducing cardiovascular events managing risk factors (iv) treatment of complications and (v) ... See full document
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On the rationale of population screening for chronic kidney disease: a public health perspective
... the kidney function, the higher the risk ...acute kidney injury, progression of CKD and ESRD, independently of estimated glomerular filtration rate (eGFR) [20, ...diovascular disease (CVD) [17, ... See full document
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Hyperuricemia and deterioration of renal function in autosomal dominant polycystic kidney disease
... control kidney, which revealed strong expression of all 4 urate transporters along the compressed proximal tubules nearby renal cysts [28] (Additional file 2: Figure ... See full document
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<p>Current Knowledge of Vaccinations in Chronic Kidney Disease Patients</p>
... Due to their dysfunctional immune system, infected dia- lysis patients are likely to become chronic carriers. 1–20,22 Therefore, increasing transmission risk in dialysis units. 22 During the last years, the ... See full document
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<p>Performance of Comprehensive Risk Adjustment for the Prediction of In-Hospital Events Using Administrative Healthcare Data: The Queralt Indices</p>
... the performance of these measures speci fi cally in individuals with a principal discharge diagnosis of selected types of cancer (colon, pancreatic, lung cancer, leukemias), cardi- ovascular disease (CVD; ... See full document
13
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... with chronic HCV infection and advanced CKD (estimated glomerular filtration or dialysis) had few safe and effective HCV treatment ...liver disease and also renal related morbidity and mortality, especially ... See full document
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Timing of renal replacement therapy initiation by AKIN classification system
... acute-on-chronic kidney disease; AKIN: Acute Kidney Injury Network; APACHE II: Acute Physiology and Chronic Health Evaluation II; CKD: chronic kidney disease; ... See full document
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Prognostic significance of urinary NGAL in chronic kidney disease
... primary chronic glomerulonephritis with stable kidney function for at least for 5 months were enrolled in the ...(Kidney Disease: Improving Global Outcomes) guidelines ... See full document
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