Is handling unbalanced datasets for machine learning uplifts system performance?: A case of diabetic prediction.
Journal:
Diabetes & metabolic syndrome
Published Date:
Sep 5, 2022
Abstract
BACKGROUND AND AIMS: Healthcare is a sensitive sector, and addressing the class imbalance in the healthcare domain is a time-consuming task for machine learning-based systems due to the vast amount of data. This study looks into the impact of socioeconomic disparities on the healthcare data of diabetic patients to make accurate disease predictions.