This chapter presents a best classification of diabetes. The proposed approach work
consists in two stages. In the first stage the Pima Indian diabetes dataset is obtained from the …

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 …

Diabetes is a condition in which the amount of sugar in the blood is higher than normal.
Classification systems have been widely used in medical domain to explore patient's data …

Classification systems have been widely utilized in medical domain to explore patient's data
and extract a predictive model. This model helps physicians to improve their prognosis …

Diabetes is a long-term metabolic condition impacting a substantial number of individuals
globally. Precise categorization of diabetes types plays a vital role in ensuring efficient …

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 offer a sea of opportunity to build classifier as wealth of patient data is available in
public domain. It is a disease which affects the vast population and hence cost a great deal …

Diabetes mellitus is one of the most serious health challenges in both developing and
developed countries. According to the International Diabetes Federation, there are 285 …

Clinical decision making is a complex task for physicians as it requires utmost accuracy of
diagnosis. This paper proposes a medical decision support system based on least square …

In this modern era, one of the prime most facilities available to this generation is state-of-the-
art health care, and still diabetes has emerged as one the leading chronic disease. Diabetes …