Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Youli Jiang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Loss to follow-up (LTFU) in tuberculosis (TB) management increases morbidity and mortality, challenging effective control strategies. This study aims to develop and evaluate machine learning models to predict loss to follow-up in TB patients
Externí odkaz:
https://doaj.org/article/3a75d19059b5428393d341e14b3069bc
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionThe increasing incidence of stroke globally has led to dysphagia becoming one of the most common complications in stroke patients, with significant impacts on patient outcomes. Accurate early screening for dysphagia is crucial to avoid co
Externí odkaz:
https://doaj.org/article/918161fa744f4d35a446f027e06260dd
Autor:
Hailin Zhang, Ao Li, Youli Jiang, Wenqiu Chen, Jin Wang, Peize Zhang, Guofang Deng, Weiyu Wang, Jingfang Chen, Yi Lin
Publikováno v:
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Patients diagnosed with pulmonary tuberculosis (TB) have poor sleep quality due to multiple factors. We aimed to assess the sleep status and related factors of TB patients in Shenzhen, China. Methods A questionnaire survey was con
Externí odkaz:
https://doaj.org/article/b159a3acaa2a437d8a7233105c1deee3
Autor:
Youli Jiang, Jingfang Chen, Meng Ying, Linlin Liu, Min Li, Shuihua Lu, Zhihuan Li, Peize Zhang, Qingyao Xie, Xuhui Liu, Hongzhou Lu
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundLoss to follow-up (LTFU) is a significant barrier to the completion of anti-tuberculosis (TB) treatment and a major predictor of TB-associated deaths. Currently, research on LTFU-related factors in China is both scarce and inconsistent.Meth
Externí odkaz:
https://doaj.org/article/04444fb320a9421a8d1af3585c447446
Autor:
Chan Xu, Qian Zhou, Wencai Liu, Wenle Li, Shengtao Dong, Wanying Li, Xiaofeng Xu, Ximin Qiao, Youli Jiang, Jingfang Chen, Chengliang Yin
Publikováno v:
Journal of Oncology. 2022:1-9
Objective. To establish and verify the clinical prediction model of lung metastasis in renal cancer patients. Method. Kidney cancer patients from January 1, 2010, to December 31, 2017, in the SEER database were enrolled in this study. In the first se
Publikováno v:
Risk Management and Healthcare Policy.
Youli Jiang,1,* Lan Luo,2,3,* Min Gui,1 Linlin Liu,1 Yi Lin,2,3 Guofang Deng,2,3 Jingfang Chen,1,3 Peize Zhang2,3 1Hengyang Medical School, School of Nursing, University of South China, Hengyang, Peopleâs Republic of China; 2Department o