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Soft Computing Techniques for Type-2 Diabetes Data Classification by Ramalingaswamy Cheruku (Author); Damodar Reddy Edla (Author); Venkatanareshbabu Kuppili (Author) is a nonfiction available to read on EtoBox.

What is Soft Computing Techniques for Type-2 Diabetes Data Classification about?

Diabetes Mellitus (DM, commonly referred to as diabetes, is a metabolic disorder in which there are high blood sugar levels over a prolonged period. Lack of sufficient insulin causes presence of excess sugar levels in the blood. As a result the glucose levels in diabetic patients are more than normal ones. It has symptoms like frequent urination, increased hunger, increase thirst and high blood sugar. There are mainly three types of diabetes namely type-1, type-2 and gestational diabetes. Type-1 DM occurs due to immune system mistakenly attacks and destroys the beta-cells and Type-2 DM occurs due to insulin resistance. Gestational DM occurs in women during pregnancy due to insulin blocking by pregnancy harmones. Among these three types of DM, type-2 DM is more prevalence, and impacting so many millions of people across the world. Classification and predictive systems are actually reliable in the health care sector to explore hidden patterns in the patients data. These systems aid, medical professionals to enhance their diagnosis, prognosis along with remedy organizing techniques. The less percentage of improvement in classifier predictive accuracy is very important for medical diag

Who reads Soft Computing Techniques for Type-2 Diabetes Data Classification?

Author

Ramalingaswamy Cheruku (Author); Damodar Reddy Edla (Author); Venkatanareshbabu Kuppili (Author)

Publisher

Chapman and Hall/CRC

Published

2020

Language

EN

ISBN

9780429281051

Category

nonfiction

Subjects

Technology, Science, Medical