Search Results - "Jiang, Youli"

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  1. 1

    Predictive machine learning models for anticipating loss to follow-up in tuberculosis patients throughout anti-TB treatment journey by Chen, Jingfang, Jiang, Youli, Li, Zhihuan, Zhang, Mingshu, Liu, Linlin, Li, Ao, Lu, Hongzhou

    Published in Scientific reports (21-10-2024)
    “…Loss to follow-up (LTFU) in tuberculosis (TB) management increases morbidity and mortality, challenging effective control strategies. This study aims to…”
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    Journal Article
  2. 2

    Advancing stroke patient care: a network meta-analysis of dysphagia screening efficacy and personalization by Jiang, Youli, Chi, Yue, Pan, Rongjia, Zhang, Dongqi, Huang, Suzhen, Ju, Hao, Li, Yanfeng

    Published in Frontiers in neurology (06-08-2024)
    “…The increasing incidence of stroke globally has led to dysphagia becoming one of the most common complications in stroke patients, with significant impacts on…”
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    Journal Article
  3. 3

    Sleep quality and influencing factors and correlation with T-lymphocyte subpopulation counts in patients with pulmonary tuberculosis: a cross-sectional study by Zhang, Hailin, Li, Ao, Jiang, Youli, Chen, Wenqiu, Wang, Jin, Zhang, Peize, Deng, Guofang, Wang, Weiyu, Chen, Jingfang, Lin, Yi

    Published in BMC infectious diseases (22-12-2022)
    “…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…”
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    Journal Article
  4. 4

    Factors associated with loss to follow-up before and after treatment initiation among patients with tuberculosis: A 5-year observation in China by Jiang, Youli, Chen, Jingfang, Ying, Meng, Liu, Linlin, Li, Min, Lu, Shuihua, Li, Zhihuan, Zhang, Peize, Xie, Qingyao, Liu, Xuhui, Lu, Hongzhou

    Published in Frontiers in medicine (25-04-2023)
    “…(LTFU) is a significant barrier to the completion of anti-tuberculosis (TB) treatment and a major predictor of TB-associated deaths. Currently, research on…”
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    Journal Article
  5. 5

    Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning by Jiang, Youli, Zhao, Qingshi, Guan, Jincheng, Wang, Yuying, Chen, Jingfang, Li, Yanfeng

    Published in Patient education and counseling (01-06-2024)
    “…This study investigates prehospital delays in recurrent Acute Ischemic Stroke (AIS) patients, aiming to identify key factors contributing to these delays to…”
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    Journal Article
  6. 6

    Framework for Nursing Quality Assessment in Tracheotomy Dysphagia Following Craniocerebral Trauma Using the Structure-Process-Outcome Model by An, Delian, Li, Yanfeng, Zhang, Yingjie, Jiang, Youli, Fan, Ping, Ruan, Hengfang, Hou, Xingyue, Chen, Miaoxia, Li, Huijuan

    Published in Journal of clinical nursing (16-10-2024)
    “…This study aimed to establish a comprehensive set of nursing-sensitive quality indicators (NSQIs) for patients with dysphagia following tracheotomy due to…”
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    Journal Article
  7. 7

    The amino acid transporter SLC-36.1 cooperates with PtdIns3P 5-kinase to control phagocytic lysosome reformation by Gan, Qiwen, Wang, Xin, Zhang, Qian, Yin, Qiuyuan, Jian, Youli, Liu, Yubing, Xuan, Nan, Li, Jinglin, Zhou, Junxiang, Liu, Kai, Jing, Yudong, Wang, Xiaochen, Yang, Chonglin

    Published in The Journal of cell biology (05-08-2019)
    “…Phagocytic removal of apoptotic cells involves formation, maturation, and digestion of cell corpse-containing phagosomes. The retrieval of lysosomal components…”
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    Journal Article
  8. 8

    Dynamic Predictive Models with Visualized Machine Learning for Assessing the Risk of Lung Metastasis in Kidney Cancer Patients by Xu, Chan, Zhou, Qian, Liu, Wencai, Li, Wenle, Dong, Shengtao, Li, Wanying, Xu, Xiaofeng, Qiao, Ximin, Jiang, Youli, Chen, Jingfang, Yin, Chengliang

    Published in Journal of oncology (14-10-2022)
    “…Objective. To establish and verify the clinical prediction model of lung metastasis in renal cancer patients. Method. Kidney cancer patients from January 1,…”
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    Journal Article
  9. 9

    Prevalence and Risk Factors of Diabetes in Patients with Active Pulmonary Tuberculosis: A Cross-Sectional Study in Two Financially Affluent China Cities by Li, Jing, Zhao, Yanhong, Jiang, Youli, Zhang, Ying, Zhang, Peize, Shen, Lingjun, Chen, Zijiao

    Published in Diabetes, metabolic syndrome and obesity (01-01-2024)
    “…Tuberculosis (TB) and diabetes mellitus (DM) present a dual burden to public health. The screening of DM in TB patients may aid in the early detection and…”
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    Journal Article
  10. 10

    Assessing the Severity of ODT and Factors Determinants of Late Arrival in Young Patients with Acute Ischemic Stroke by Zhu, Letao, Li, Yanfeng, Zhao, Qingshi, Li, Changyu, Wu, Zongbi, Jiang, Youli

    Published in Risk management and healthcare policy (01-11-2024)
    “…Acute ischemic stroke (AIS) is increasingly affecting younger populations, necessitating prompt thrombolytic therapy within a narrow therapeutic window…”
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    Journal Article
  11. 11

    Healthcare-Seeking Delays in Acute Ischemic Stroke Patients: The Influence of Gender, Immigrant Status, and Educational Background by Jiang, Youli, Xiong, Yao, Chi, Yue, Lin, Fu, Zhao, Qingshi, Li, Yanfeng

    Published in Risk management and healthcare policy (01-01-2024)
    “…Timely medical attention is crucial for patients with Acute Ischemic Stroke (AIS), as delays can significantly impact therapeutic outcomes. These delays are…”
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  12. 12

    Mitigating Social Isolation Among Peritoneal Dialysis Patients: The Impact of Educational Level, Physical Activity, and Familial Support by Cai, Huifang, Wu, Zongbi, Xu, Jieling, Wang, Taifen, Li, Yanfeng, Jiang, Youli, Xu, Mingming

    Published in Risk management and healthcare policy (01-01-2024)
    “…This study investigates the prevalence and determinants of social isolation in peritoneal dialysis (PD) patients, focusing on the influence of environmental…”
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    Journal Article
  13. 13

    LSTM-Based Prediction Model for Tuberculosis Among HIV-Infected Patients Using Structured Electronic Medical Records: A Retrospective Machine Learning Study by Chen, Jingfang, Liu, Linlin, Huang, Junxiong, Jiang, Youli, Yin, Chengliang, Zhang, Lukun, Li, Zhihuan, Lu, Hongzhou

    Published in Journal of multidisciplinary healthcare (30-07-2024)
    “…Both HIV and TB are chronic infectious diseases requiring long-term treatment and follow-up, resulting in extensive electronic medical records. With the…”
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  14. 14

    Duration and Determinants of Delayed Diagnosis with Tuberculosis in Shenzhen, China: A Cross-Sectional Study by Jiang, Youli, Luo, Lan, Gui, Min, Liu, Linlin, Lin, Yi, Deng, Guofang, Chen, Jingfang, Zhang, Peize

    Published in Risk management and healthcare policy (01-01-2022)
    “…Background: Early diagnosis and timely treatment of tuberculosis are critical for disease control and management. However, diagnostic delay remains severe…”
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    Journal Article