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XIAOYU TANG

As seen in: Wiley Online Library, Frontiers, Frontiers in Public Health, Journal of Sensors, Physical Review B, Dove Medical Press

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Articles

Impact dynamics of droplet containing particle suspensions on deep liquid pool

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By XIAOYU TANG, Boqian Yan
| Physical Review B
Opens in a new window Opens an external website Opens an external website in a new window This website utilizes technologies such as cookies to enable essential site functionality, as well as for analytics, personalization, and targeted advertising. Privacy Policy Article Text Supplemental Material References Phys. Rev. Fluids 11, 060501– Published 22 June, 2026 Accepted manuscript will be available starting 22 June, 2027. ©2026 American Physical Society Username Password Enter a citation
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Enhancing clinically cardiovascular machine learning model for risk prediction via sample augmentation

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By XIAOYU TANG, Min Tang, Wu Liu, Shaoyang Cui
| Frontiers
Abstract Background: Small sample dataset and heterogeneous distributions limit the robustness and implementability of machine learning models for structured clinical data. To evaluate the value of moderate data augmentation for cardiovascular risk modeling and propose an interpretable and deployable solution within a “continuous risk to thresholding” framework. Methods: The heart disease classification dataset was randomly divided into training and validation sets with an 8:2 ratio.
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Identification of risk factors and response strategies in interhospital transfer of critically ill patients with respiratory infectious diseases: a qualitative study

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By XIAOYU TANG, Yiwei Luo, Qinghua Dong, Dianjie Chen, Qun Xiao, Chen Zhi, Min Zhu, Hui Ma, Zhengji He
| Frontiers in Public Health Verified
Abstract Background: Respiratory infectious disease epidemics challenge global public health. Critically ill patients need specialized care, making interhospital transfer pivotal for resource optimization; however, it carries substantial risks. The objective of the current study was to identify the risk factors for interhospital transfer of critically ill patients with respiratory infectious diseases and formulate response strategies.
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