عنوان المقالة:نظام دقيق للتنبؤ بمرض السكري يعتمد على نهج التجميع والتصنيف المقترح An Accurate Diabetes Prediction System Based on K-means Clustering and Proposed Classification Approach
دعاء نتيشه مهاوي, مصطفى سالم كاظم ، اخلاص وطن غنداوي
المؤلفون بالإنجليزي
Mustafa S. Kadhm, Ikhlas Watan Ghindawi, Duaa Enteesha Mhawi
الملخص العربي
Diabetes prediction system is very useful system in the healthcare field. An accurate system for diabetes prediction is proposed in this paper. The proposed system used K-nearest neighbor algorithm for eliminating the undesired data, thus reducing the processing time. However, a proposed classification approach based on Decision Tree (DT) to assign each data sample to its appropriate class. By experiments, the proposed system achieved high classification result which is 98.7% comparing to the existing system using Pima Indians Diabetes (PID) dataset.
تاريخ النشر
13/06/2018
الناشر
International Journal of Applied Engineering Research
أ.م.د مصطفى سلام كاظم | Mustafa Salam Kadhm | 15504