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Yingzhu Xie

As seen in: Frontiers
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Articles

Development and validation of a deep neural network for predicting coronary heart disease in hypertensive patients using 24-hour ambulatory blood pressure monitoring: a retrospective study

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By Li Wang, Ji Hun Song, Yaqi Liu, Liangbang Zeng, Yingzhu Xie
| Frontiers
Abstract Background: Coronary heart disease (CHD) remains a leading cause of morbidity and mortality worldwide. Early identification of high-risk hypertensive patients is crucial for preventing cardiovascular events. While traditional risk scores rely on static clinical measurements, 24-h ambulatory blood pressure monitoring (ABPM)-derived time in target range (TTR) captures dynamic blood pressure control patterns that may improve risk stratification.
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