Diagnosis of Diabetes Types-2 Mellitus Based on Machine Learning Techniques

Author:

Tripathi Somendra1,Sharan Hari Om2

Affiliation:

1. Faculty of Engineering and Technology, Rama University, India

2. Rama University, India

Abstract

Diabetes Type-2 is one of the significant medical problems nowadays. Diabetes Type-2 is no longer only a disease of the wealthy; its prevalence is rapidly rising everywhere, particularly in the world's middle class income for different countries. Presently it is not an illness of transcendently developed countries. The pervasiveness of diabetes is consistently expanding all over, most extraordinarily on the planet's center pay countries. The majority of these 3.7 million deaths occur before the age of 70. The number of people who die before they are 70 as a result of high blood glucose or diabetes is higher. There are several computational ways for detecting Diabetes Mellitus, but the major downside is that the patient must undergo several medical tests in order to supply input values to the computer diagnostic system, which is both costly and tedious. There are now a variety of techniques and algorithms in artificial intelligent and machine learning that can be applied to accurately predict and detect a number of diseases.

Publisher

IGI Global

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