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Chronic Kidney Disease (CKD) is an increasingly prevalent condition affecting 13% of the US population. The disease is often a silent condition, making its diagnosis challenging. Identifying CKD stages from standard office visit records can help in early detection of the disease and lead to timely intervention. The dataset we use is highly imbalanced. We propose a hierarchical meta-classification...
Microbubble based contrast-enhanced ultrasound (CEUS) enables the visualization of vascularity given the tendency of microbubbles to function as a blood pooling agent. Using contrast specific ultrasound (US) imaging, it is possible to quantify the kinetics of these agents and derive various perfusion metrics. In this ongoing clinical study, we evaluate the feasibility of using these microbubble based...
K-means algorithm has been a workhorse of unsupervised machine learning for many decades, primarily owing to its simplicity and efficiency. The algorithm requires availability of two key operations on the data, first, a distance metric to compare a pair of data objects, and second, a way to compute a representative (centroid) for a given set of data objects. These two requirements mean that k-means...
Chronic kidney disease (CKD) is a disease caused by degeneration function of the kidneys. CKD is top ten leading causes of death in the world. There are two leading causes of CKD, i.e. diabetes and hypertension. When the symptoms become more severe, the disease can only be treated with dialysis and kidney transplantation. This disease can be treated if the diagnose is conducted appropriately and quickly...
Mortality due to chronic kidney disease (CKD) increases significantly in a recent year. The disease often is diagnosed in an advanced stage. On the other hand, there has been traditional Chinese method or technique to diagnose the presence of the CKD. The diagnosis is carried out by examining pulse palpation at three points namely cun, guan and chi located at the radial artery of the left hand. Records...
Imbalanced data is an important problem for medical data analysis. Medical datasets are often not balanced in their class labels. The traditional classifiers can be seriously affected by the imbalanced class distribution in the data. This is because they aim to optimize the overall accuracy without considering the relative distribution of each class. This study searches the effect of class imbalance...
Chronic kidney failure (chronic kidney disease ‘CKD’) is a serious disease that related to the gradual loss of kidney function. It is considered one of the health threats in the developing and undeveloped countries At early stages, few symptoms can be detected, where the CKD may not become obvious until significant kidney function impaired occur. CKD treatment focuses on reducing the kidney damage...
In the present work a Cuckoo Search (CS) trained Neural Network (NN) or NN-CS based model has been proposed to detect Chronic Kidney Disease (CKD) which has become one of the newest threats to the developing and undeveloped countries. Studies and surveys in different parts of India have suggested that CKD is becoming a major concern day by day. The financial burden of the treatment and future consequences...
Chronic kidney disease (CKD), also known as chronic renal disease, which is progressive loss in kidney function over a period of months or years. It is defined by the presence of kidney damage or decreased glomerular filtration rate (GFR). The estimated prevalence of CKD is about 9–13% in the general adult population. Individuals with CKD have a far greater likelihood of cardiovascular death than...
Globally, chronic kidney disease (CKD) burden healthcare systems. Current treatment systems in many countries have presented a serious socioeconomic situation for low- to middle-income countries. As such, monitoring mechanisms present a clinical need for effective diagnosis, prevention and treatment of numerous non communicable diseases, such as CKD. Non-invasive, continuous monitoring of renal function...
Chronic kidney disease (CKD) is a major public health concern with rising prevalence. In this study we consider 24 predictive parameters and create a machine learning classifier to detect CKD. We evaluate our approach on a dataset of 400 individuals, where 250 of them have CKD. Using our approach we achieve a detection accuracy of 0.993 according to the F1-measure with 0.1084 root mean square error...
Chronic kidney disease can be detected with several automatic diagnosis systems. In this study, chronic kidney diseases are diagnosed with Adaboost ensemble learning algorithm. Decision tree based classifiers are used in the diagnosis. The classification performance are evaluated with kappa, mean absolute error (MAE), root mean squared error (RMSE) and area under curve (AUC) criterias. Considering...
With the rise in quantifiable approaches to health care, lessons from reliability modeling provide new avenues for improving patient outcomes. Describing the development of conditions leading to organ system failure provides visceral motivation for quantifying reliability, or project outcomes in the face of uncertain disease progression. As prime examples, progressive kidney diseases leading to renal...
Chronic kidney disease is a universal common obstacle which its outcomes can be prevented or delayed by early detection and cure. Classification of kidney disease is vital for global improvement and accomplishment of practical guidance. Therefore, data mining and machine learning techniques can be used to discover knowledge and identify patterns for classification. Since there exist features that...
The early diagnosis of the Chronic Kidney Disease (CKD) is important to reduce the progression of the disease and prevent its treatment in advanced stages. Information and Communication Technologies (ICT) can assist the CKD diagnosis and the patients' referral to a nephrologist. In this context, regulatory agencies evaluate the safety and effectiveness of this type of medical system before market...
Chronic kidney disease (CKD) is a chronic condition where the kidneys' functions' progression is lost or slowed in the body. Once our kidneys are damaged, excretion process in the body cannot be carried out effectively. Important information is needed for CKD patients such as food nutrition, consequences and also daily healthcare management. Thus, the focus of this project is to develop a multimedia...
Object: to demonstrate the necessity of establishing chronic kidney disease registration system by the case of Guangdong provincial hospital of Chinese medicine. Method: laboratory test results of serum creatinine level and routine urinalysis of all in-hospital patients in year 2012 were collected through the hospital's information system. After excluding repeated test results, estimated glomerular...
Objective: clinic research information sharing system was designed and invented by National Chinese Medicine Scientific Academy, which provided great convenience for clinical research. To assess the effect of characteristic therapy of Chinese medicine in rehabilitation of chronic kidney disease patients, data mining in a single TCM hospital was conducted. Methods: clinical information of CKD patients...
Metformin is the most commonly prescribed medication for type 2 diabetes (T2DM) in the world. It has primacy in the treatment of this disease because of its safety record and also because of evidence for reduction in the risk of cardiovascular events. Evidence has accumulated indicating that metformin is safe in people with stage 3 chronic kidney disease (CKD-3). It is estimated that roughly one-quarter...
Object: to analyze the relationship between traditional Chinese medicine (TCM) patterns and biochemical parameters in chronic kidney disease (CKD) population; and to discuss the practicality and application of the Informations Sharing System. Method: clinical informations and laboratory tests results of CKD population were input into the system. Diagnosis of TCM patterns and laboratory tests results...
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