Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement
Abstract Diabetes prediction is an important topic in the field of medical health. Accurate prediction can help early intervention and reduce patients’ health risks and medical costs. This paper proposes a data preprocessing method, including removing outliers, filling missing values, and using spar...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-83902-6 |
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