Background: The classification method is required to deduce possible errors and assist the
doctors. These methods are used to take suitable decisions in real world applications. It is …

The modern society is prone to many life-threatening diseases which if diagnosis early can
be easily controlled. The implementation of a disease diagnostic system has gained …

Diabetes mellitus (DM) is a collection of metabolic diseases that influence the human
pressure significantly worldwide. Detection of patient with diabetes at early stage is the most …

Purpose: Diabetes has received a great deal of attention in medical research because of its
profound effect on human health. Many factors cause this disease in the human body. Can …

Diabetes is one of the most serious health challenges in both developed and developing
countries. Early detection and accurate diagnosis of diabetes can reduce the risk of …

Thyroid diseases are across the board around the world. In India as well, there is a critical
issue caused because of this disease. Different research studies estimate that around 42 …

Diabetes Mellitus is a major health problem all over the world. Many classification algorithms
have been applied for its diagnoses and treatment. In this paper, a hybrid algorithm of …

Type 2 diabetes is a chronic metabolic disease that affects a significant portion of the
worldwide people. Prediction of this disease using different machine learning (ML) based …

Classification is an efficient and most widely used technique in various applications, such as
medical diagnosis of diabetes patients. There are various techniques implemented for the …

Identifying performance of classifier is a challenging task. SVM plays an important role in
classification. Here different kernel parameters are used as a tuning parameter to improve …