Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability
Abstract Objective This study aims to develop an enhanced Transformer model for predicting mild cognitive impairment (MCI) using data from the China Health and Retirement Longitudinal Study (CHARLS), focusing on handling mixed data types and improving predictive accuracy. Methods The Transformer int...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-025-21762-z |
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