Advanced Healthcare Systems

15Early Detection of Type 2 Diabetes Mellitus Using Deep Neural Network–Based Model

Varun Sapra¹ and Luxmi Sapra^2*

¹Department of Systemics, University of Petroleum and Energy Studies, Dehradun, India

²Dev Bhoomi Institute of Technology, Dehradun, India

Abstract

According to International Diabetes Federation, 463 million people are diabetic worldwide. Due to change in lifestyle, the disease has effected many people drastically affecting the quality of life and now considered as a global threat. Diabetes is aggravated over time if not treated properly. People with diabetes are more vulnerable to the severe effects of the COVID-19. It can lead to more disease such as kidney disease, stroke, heart disease, and many more. It is essential to identify the disease in its early stage so that preventive steps can be taken. Early detection can recommend the lifestyle changes and medication, hence delay its progression and further complication. Due to digital revolution, health sector produces enormous amount of data in the form of patient history, pathological reports, images, prescription and health insurance claims, etc. Extracting knowledge from these kinds of data is still a challenge. Advancement in computation methods enables researches to uncover the hidden, interesting, and complex pattern from data. One of such computational method is machine learning. Different intelligent computational methods have been explored by researchers in last one decade. This chapter focuses on implementing ...