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 28
- Downloads 0
A Review on the Prevalence and Management of Colorectal Cancer
Cancer had become a common disease worldwide and cancer related death is also increasing in various parts of the world in spite of increased screening and diagnostic facilities available for early detection of cancer and...
Ability Reasoning Mathematical Students on Solving Problem
This paper discusses challenges faced by students in developing the ability to reason mathematically. This paper researches factors that cause difficulty and suggests potential solutions for increasing education in mat...
A Study to Assess the Level of Stress among Care Givers of Thalassemia Attending Thalassemia Clinics of H.S.K Hospital and Research Centre, Bagalkot
Background: Thalassemia affects approximately 4.4 out of every 10,000 live births throughout the world. This condition causes both males and females to inherit the relevant gene mutations equally because it follows an au...
Cost Optimization and Risk Management Program for the Fuel Supply Network in an Oil & Gas Swamp Operation
Marine activity is a critical part of an oil & gas company that operates in the swamp area. The company utilizes rigs, barges, and boats to achieve maximum production. Fuel supply for marine fleets is highly essential to...
Assessing Knowledge Management Readiness to Improve Data Quality by Prevent Incorrect Data Input on ERP System in Component Rebuild Center PT Kalcoal
To fulfil the demand of availability component for supporting the mining operation at PT Kalcoal. Recondition component daily activity of recondition is entanglement from one process to another until the end of process....