Feedback Mechanism in Diabetes Classification

Feedback Mechanism in Diabetes Classification

1.      Shrey Sandhu

Enrollment No. - 15314803119

(Information Technology scholar at Maharaja Agrasen Institute of Technology, Delhi-India)

2.      Shubham Mishra

Enrollment No. - 15614803119

(Information Technology scholar at Maharaja Agrasen Institute of Technology, Delhi-India)

Under supervision of:-

1. Dr. ML Sharma(H.O.D)

(Department of IT , Maharaja Agrasen Institute of Technology, Delhi-India)

2. Dr. KC Tripathi

(Department of IT , Maharaja Agrasen Institute of Technology, Delhi-India)

Abstract.

Diabetes is becoming more common every day, making it important and concerning to predict and diagnose these conditions accurately and efficiently. This research paper focuses on identifying patients who are more likely to have diabetes based on various medical attributes and also examines which attributes are contributing to diabetes. To address this issue, we developed a diabetes prediction system that uses a machine learning algorithm i.e Support Vector Machine (SVM), to predict and classify patients with diabetes. This system helps to relieve a significant amount of pressure on medical professionals by accurately identifying the likelihood of a patient having diabetes. In addition, the diabetes prediction system improves medical care and reduces costs. Overall, this project provides valuable knowledge that can aid in the prediction of diabetes in patients and is implemented in .pynb format.