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Mingqin Cao
Researcher at Xinjiang Medical University
Publications - 6
Citations - 56
Mingqin Cao is an academic researcher from Xinjiang Medical University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 2, co-authored 2 publications receiving 44 citations.
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Journal ArticleDOI
The incidence of liver injury in Uyghur patients treated for TB in Xinjiang Uyghur autonomous region, China, and its association with hepatic enzyme polymorphisms nat2, cyp2e1, gstm1 and gstt1.
Yang Xiang,Long Ma,Weidong Wu,Wei Liu,Yongguang Li,Xia Zhu,Wang Qian,Jinfeng Ma,Mingqin Cao,Xuemei Yao,Yang Lei,Atikaimu Wubuli,Corinne Merle,Paul Milligan,Ying Mao,Jiayi Gu,Xiumei Xin +16 more
TL;DR: In Xinjiang Uyghur TB patients, liver injury was associated with the genetic variant NAT2*5, however the genetic markers studied are unlikely to be useful for screening patients due to the low sensitivity and low positive predictive values for identifying persons at risk of liver injury.
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Burden of tuberculosis in Xinjiang between 2011 and 2015: A surveillance data-based study.
Xiangyan He,Mingqin Cao,Tanmay Mahapatra,Xiangpin Du,Sanchita Mahapatra,Qifeng Li,Lei Feng,Songyuan Tang,Zhen Zhao,Jinbao Liu,Weiming Tang +10 more
TL;DR: To reach the goal of elimination and control of TB, more comprehensive STOP TB strategies should be implemented in Xinjiang, the region with the highest PTB burden in China.
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Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Yan Zhang,Xiaoxu Zhang,Jaina Razbek,Deyang Li,W.P. Xia,Liangliang Bao,Hongkai Mao,Mayisha Daken,Mingqin Cao +8 more
TL;DR: In this paper , the authors used model interpretability methods to identify risk factors associated with MetS, and the results showed that in addition to the traditional risk factors such as overweight and obesity, hyperglycemia, hypertension and dyslipidemia, MetS was also associated with other factors, including age, creatinine, uric acid, and alkaline phosphatase.
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Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable models
Yan Zhang,Jaina Razbek,Deyang Li,Lei Yang,Liangliang Bao,W.P. Xia,Hongkai Mao,Mayisha Daken,Xiaoxu Zhang,Mingqin Cao +9 more
TL;DR: Wang et al. as discussed by the authors constructed simple and practical metabolic syndrome (MetS) risk prediction models based on the data of inhabitants of Urumqi and to provide a methodological reference for the prevention and control of MetS.
Journal ArticleDOI
The relationship between vitamin D level and second acid-fast bacilli (AFB) smear-positive during treatment for TB patients was inferred by Bayesian network
TL;DR: The risk factors of second AFB smear-positive were baseline AFB smear, combined cavity, full supervision and full management, and the vitamin D level in TB patients was not considered as one of the reasons for the AFB smear -positive.