Publications by authors named "TingQian Cao"

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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Article Synopsis
  • The study introduces the EMR-LIP framework, designed to standardize and optimize the preprocessing of complex Electronic Medical Records (EMRs) data for better clinical predictive modeling.
  • EMR-LIP allows for a more detailed categorization of variables and tailor-made preprocessing techniques, demonstrating its effectiveness through analysis of two public EMR databases, MIMIC-IV and eICU-CRD.
  • The results indicated that models using EMR-LIP preprocessing improved overall performance, achieving high accuracy rates in predicting in-hospital deaths and ensuring fairness across different ethnic groups.
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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.

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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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