An investigation of machine learning algorithms and data augmentation techniques for diabetes diagnosis using class imbalanced BRFSS dataset
Diabetes is a prevalent chronic condition that poses significant challenges to early diagnosis and identifying at-risk individuals. Machine learning plays a crucial role in diabetes detection by leveraging its ability to process large volumes of data and identify complex patterns. However, imbalance...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-06-01
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Series: | Healthcare Analytics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442523001648 |