Abstract
INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - volume 14,issue 4,, April 2025
Pages: 93-99
Effective Diagnosis of Diabetes Mellitus for Healthcare System using Supervised Machine Learning Technique
Varun Gupta Dr. R. P. P. Singh Dr. Neeraj Marwah
Category:Engineering, Science and Mathematics
Abstract:
- Diabetes is a metabolic disorder in which the body is unable to properly regulate blood sugar levels. It can occur when the body does not produce enough insulin or when cells become resistant to insulin’s effects. There are two main types of diabetes, Type 1 and Type 2, which have different causes and risk factors. Early detection of diabetes allows for early intervention and management of the condition. This can help prevent or delay the development of serious complications associated with diabetes. Early diagnosis also allows for individuals to make lifestyle changes to prevent the progression of the disease. Healthcare systems play a vital role in the management and treatment of diabetes. They provide access to diabetes education, regular check-ups, and necessary medications for individuals with diabetes. They also provide monitoring and management of diabetes-related complications, such as heart disease, kidney failure, and neuropathy. Through early detection, prevention and management programs, healthcare systems can help improve the quality of life and outcomes for people with diabetes. In this paper the study of ML technique to analysis of DM.