Diabetes is a fatal disease that currently has no treatment. However, early diagnosis of
diabetes aids patients to start timely treatment and thus reduces or eliminates the risk of …

The use of fuzzy logic in disease diagnosis is very common and beneficial as it incorporates
the knowledge and experience of physician into fuzzy sets and rules. Most of the research …

Significant attention has been paid to the accurate detection of diabetes. It is a big challenge
for the research community to develop a diagnosis system to detect diabetes in a successful …

The number of patients that were infected by Diabetes Mellitus (DM) has reached 415
million patients in 2015 and by 2040 this number is expected to increase to approximately …

Diabetes as a chronic disease is becoming a foremost community health concern
worldwide. In developing countries, the diabetic patients are increasing rapidly due to lack of …

Machine learning techniques play an increasingly prominent role in medical diagnosis. With
the use of these techniques, patients' data can be analyzed to find patterns or facts that are …

Recently, diabetes becomes the widespread and major disease in the world. In this paper,
we propose a novel hybrid classifier for diabetic diseases. The proposed hybrid classifier …

In today's world the diabetes mellitus has become a major health problem among the people
of all ages. Most of the researchers have proposed different systems to diagnose diabetes …

Diabetes is a chronic disease characterized by a decrease in pancreatic insulin production.
The immune system will be harmed due to this condition, which will raise blood sugar levels …

Purpose Machine Learning is an intelligent methodology used for prediction and has shown
promising results in predictive classifications. One of the critical areas in which machine …