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Transformer-based models for predicting cardiovascular risk in Chinese adults: development and validation
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DOI：10.1093/eurheartj/ehag517.png)
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Abstract
En 中文
Traditional Cox proportional hazards models show suboptimal performance for cardiovascular disease (CVD) risk prediction in Chinese populations. Transformer-based deep learning models have demonstrated promise in clinical risk prediction. In this study, sex-specific transformer-based models (China-AIHeart) for 10-year CVD risk prediction among Chinese adults were developed and validated.
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