The support vector machine (SVM) has been used as an efficient tool in data mining tasks
during the last 2 decades. It is also used for supervised classification with reasonable …

Diabetes, typically stated by medical professionals as DM (Diabetes Mellitus), explains a
collection of metabolic illnesses during which the patient has high glucose, either as a result …

In this paper we make a comprehensive review regarding the use of neural networks in
automated medical diagnosis, with a special emphasis in Support Vector Machines (SVMs) …

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 use of Data mining techniques on medical data is dramatically soar for determining
helpful things which are used in decision making and identification. The most extensive data …

Disease-causing organisms have shown to be adaptive in nature, and for a proper disease
diagnosis, the need for disease detection system becomes paramount. Varieties of different …

Two approaches to building models for prediction of the onset of Type diabetes mellitus in
juvenile subjects were examined. A set of tests performed immediately before diagnosis was …

The reduced support vector machine (RSVM) is extension method of smooth support vector
machine (SSVM) for handling computational difficulties as well as reduces the model …

Diabetes mellitus is a disease in which blood sugars level is abnormally high due to inability
of the body to produce or respond normally to insulin. It is among the critical disease and lots …

Abstract In Computer-Aided Diagnosis (CAD) systems, major role is played by classification
of medical images. Conventional methods uses texture features, color and shape …