HIGHLIGHTS
- What: This study proposes a novel method that combines K-Nearest Neighbors (KNN) clustering techniques Synthetic Technique (SMOTE) and Random Forest for outcome classification to address these issues. The PIMA Indian Diabetes Dataset is a widely used resource in diabetes research, focusing on a cohort of Pima Indian women in Arizona, USA. The ability to pinpoint such key features allows the model to focus on variables with the highest predictive power, enhancing its accuracy while potentially reducing computational complexity.
- Who: DC from the Department of Computer Science, Xi`an Jiaotong University, Xi`an, China have . . .
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