Abstract
This study focuses on the implementation of data mining techniques to predict diabetes using the C4.5 algorithm. Diabetes is a syndrome characterized by metabolic disturbances and abnormally high blood glucose levels due to insulin deficiency or decreased tissue sensitivity to insulin. Maintaining blood sugar levels is crucial for health, as it is a vital energy source for cells and tissues. The research employs various classification attributes, including weight, gender (as an auxiliary attribute), blood pressure, blood sugar levels, and diabetes history. These attributes are used to help individuals predict whether their diabetes is hereditary or non-hereditary.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
