Diabetic Disease Prediction Using Machine Learning

• Author(s): Aakriti ; Ashutosh Mishra ; Harsh Verma ; Prof. Shripad Desai
• Paper ID: 1703601
• Page: 88-92
• Published Date: 05-07-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 1 July-2022

Abstract

Many of the interesting and important applications of machine learning are seen in a medical organization. The notion of machine learning hasswiftly become very appealing to healthcare industries. The predictions and analysis made by the research community for medical dataset support the people by taking proper care and precautions by preventing diseases. Through a set of medical datasets, different methods are used extensively in developing the decision support systems for disease prediction. We also discuss various applications of machine learning in the field of medicine focusing on the prediction of diabetes through machine learning. Diabetes is one of the most increasing diseases in the world and it requires continuous monitoring. To check this, we explore various machine learning algorithms which will help in early prediction of this disease.

Keywords

Diabetes; health care; Random Forest, Xg Boost; machine learning.

Citations

IRE Journals:
Aakriti , Ashutosh Mishra , Harsh Verma , Prof. Shripad Desai "Diabetic Disease Prediction Using Machine Learning" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 88-92

IEEE:
Aakriti , Ashutosh Mishra , Harsh Verma , Prof. Shripad Desai "Diabetic Disease Prediction Using Machine Learning" Iconic Research And Engineering Journals, 6(1)