MACHINE LEARNING BASED DIABETES CLASSIFICATION AND PREDICTION
DOI:
https://doi.org/10.48047/78fr3s47Keywords:
.Abstract
Millions of people worldwide suffer from diabetes, a chronic illness that must be diagnosed early and effectively managed to avoid serious complications. With its sophisticated techniques for precise diabetes prediction and classification, machine learning has become a potent instrument in the medical field.This study evaluates patient health data, such as blood glucose levels, age, BMI, and lifestyle factors, using machine learning algorithms to classify individuals as either diabetic or nondiabetic.The suggested system combines cloud computing for scalable processing with Internet of Things devices for real-time data collection
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
