An Advanced Machine Learning Approach for Enhanced Diabetes Prediction
Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 12
Abstract
Diabetes is a chronic health condition affecting millions globally, causing severe complications and burdening healthcare systems. Current machine learning methods for diabetes prediction face challenges such as data imbalance, limited generalizability, and computational inefficiency. This study proposes a novel method that combines K-Nearest Neighbors (KNN), clustering techniques, Synthetic Minority Over- sampling Technique (SMOTE), and Random Forest for outcome classification to address these issues. The PIMA Indian Diabetes Dataset was used to evaluate the approach, achieving accuracy of 87.50%. However, the study has limitations, such as dependency on specific datasets and computational complexity. Future work will focus on validating the method across diverse datasets, optimizing computational efficiency, and developing real-time prediction capabilities.
Authors and Affiliations
Almonzer Salah Nooraldaim, Amal Elobaid Ahmed Abdalla, Amna Mirghani Seed,
Keywords
Related Articles
- EP ID EP752507
- DOI 10.47191/ijcsrr/V7-i12-15
- Views 12
- Downloads 0
Improving Work Rehabilitation Program at PT. KALPRI
The work rehabilitation program is one of the important efforts made by the company to help employees who are experiencing health conditions that disrupt work productivity to return to work optimally at PT. KALPRI, there...
Examining Clinical Practice and Short-Term Results in Ventral Hernia Repair
Background and Objectives: This prospective observational study conducted at Parul Sevashram Hospital, Vadodara aimed to examine the diversity in surgical techniques used for primary and incisional ventral hernia repair...
Leveraging Electronic Health Records (EHR) for Enhanced Patient Care
This study analyzes how electronic health records (EHR) can be utilized to enhance patient care. The objectives of the study are to; design predictive models to recognize patients are risk of developing some specific con...
Applying Warren Buffet’s Investment Strategy to Indonesia Stock Market
In the past five years, there has been a significant surge in local Indonesian investors, predominantly comprising millennials and Gen Z, contributing to the positive growth of the stock market. However, a concerning phe...
The Effects of Motivational Factors on Employee Performance: A Case Study on Telecommunication Sector in Nangarhar, Afghanistan
This study evaluates the impact of motivating variables on worker performance in Nangarhar, Afghanistan’s telecommunications industry. The data from relevant respondents is gathered using the stratified random sampling t...