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Zaiying Yeerbao on Muck Rack

Zaiying Yeerbao

As seen in: Frontiers, Frontiers in Public Health
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Articles

An explainable machine learning model for type B aortic dissection identification: development and internal evaluation

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By Donglin Li, Dilinuerkezi Abulimiti, Zaiying Yeerbao, Xiangxiang Ru, Xinxi Li, Lei Zhang, Jingdong Tang, Shuai Jiang, Ye Tian
| Frontiers in Public Health Verified
Abstract Purpose: Type B aortic dissection (TBAD) is a life-threatening cardiovascular emergency that requires timely recognition. This study aimed to develop and internally evaluate an explainable machine learning model for identifying existing TBAD using routinely available clinical history and admission laboratory data.
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Glucolipid metabolic disorders and ferroptosis in diabetic ulcers: pathogenic crossroads and therapeutic opportunities

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By Xinxi Li, Lei Zhang, Guoli Du, Jingdong Tang, Shuai Jiang, Donglin Li, Li Chen, Yuxin Deng, Yunshan Li, Ye Tian, Zaiying Yeerbao, Xiangxiang Ru, Dilinuerkezi Abulimiti, Guliteken Aihemaitijiang, Halizhati Halimulati
| Frontiers
1 Introduction Diabetic ulcers (DUs) represent a severe and prevalent complication of diabetes, characterized by impaired healing, high risk of infection, and substantial morbidity (1, 2).The pathogenesis of DUs is multifaceted, involving peripheral neuropathy, ischemia, and a persistent pro-inflammatory microenvironment.
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