Publications by authors named "Woomme Kulsum"
Article Synopsis
- Diabetes is a widespread health issue, with many individuals remaining undiagnosed; early detection is crucial to prevent complications.
- The study introduces two stacking-based models that use machine learning techniques, including classical and deep neural networks, to improve the accuracy of diabetes classification using various datasets.
- The models achieved impressive accuracy rates—up to 95.50% on simulated data and around 75-77% on the PIMA Indian Diabetes dataset—demonstrating their potential for early disease detection and enhancing healthcare data analysis methods.
