Introduction: Despite the rapid advancements in cardiovascular surgery in China, the prevalence of valvular heart disease (VHD) continues to rise, particularly among the elderly population. In the resource-constrained western regions, the lack of an integrated care management system significantly contributes to the burden of cardiovascular disease. Consequently, a comprehensive cohort data platform that encompasses the entire lifespan of patients with VHD is essential.
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February 2025
Objective: The aim of this study was to develop a predictive model for uncorrected/actual fluid intelligence scores in 9-10 year old children using magnetic resonance T1-weighted imaging. Explore the predictive performance of an autoencoder model based on reconstruction regularization for fluid intelligence in adolescents.
Methods: We collected actual fluid intelligence scores and T1-weighted MRIs of 11,534 adolescents who completed baseline tasks from ABCD Data Release 3.
Background: Chronic aortic valve disease (AVD) is a prevalent age-related health issue. Current guidelines recommend transthoracic echocardiography as the method of detection. Early screening is crucial to decrease mortality caused by aortic valve disease.
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