Diabetes has become one of the major health concerns for the modern day population. This
can be attributed to a number of factors such as unhealthy lifestyle, meager diet, genetics …

Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which
delays treatment. Machine learning methods have been applied to increase the diagnosis …

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 …

Weighing only 300 grams, Heart is declining the mortality rate at a rapid pace from decades.
The major factors that contribute to it are smoking, drinking, unbalanced diet, and many …

Environmental disasters affect the economy, biodiversity, human life, and living organisms.
Thunderstorms are one of such environmental disaster. By using proper methodology of …

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 …

In the current scenario, the classification methods are needed to reduce the possible errors.
It will help the physicians to take suitable decisions with speedy manner. Here, the prime …

An electrocardiogram measures the electrical activity of the heart and has been widely used
for detecting heart diseases due to its simplicity and non‐invasive nature. It is possible to …

The liver is the most important and one of the largest organs in the body. The Liver serves a
number of functions, making it vital to the human body. When the Liver's regular functions …

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 …