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Zeyuan Yin

As seen in: Nature, MDPI
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Articles

Predictive performance of the PUMA questionnaire as an opportunistic COPD case-finding tool in Singapore primary care

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By Vicky Mengqi Qin, Kenneth Tan, Zeyuan Yin, Susie Wong, Dingding Wang, Jo-Anne Manski-Nankervis, Eng Sing Lee, Valery Ho
| Nature Verified
Abstract The PUMA scale has shown good discrimination in identifying people with COPD in primary care. We evaluated the predictive performance of PUMA for opportunistic case-finding and assessed the prevalence of COPD in at-risk primary care patients in Singapore. This is a multicentre cross-sectional study of participants aged ≥40 years and current/former smokers. Participants completed the PUMA scale and spirometry.
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DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation

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By Ammar Sherif, Zeyuan Yin, Shitong Shao
| arxiv.org
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Profiling Reduced Expression of Contractile and Mitochondrial mRNAs in the Human Sinoatrial Node vs. Right Atrium and Predicting Their Suppressed Expression by Transcription Factors and/or microRNAs

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By Weixuan Chen, Abimbola Aminu, Zeyuan Yin, Irem Karaesmen
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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