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Guiying Guo on Muck Rack

Guiying Guo

As seen in: Frontiers, Frontiers in Public Health, Dove Medical Press
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Articles

Systematic review of behavior-related self-management assessment instruments for patients with diabetes

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By Jun L Zhou, Yuanyuan Cui, Xingxin Cai, Mengqi Han, Wenxiu Wang, Peimin Liu, Jing Li, Guiying Guo
| Frontiers in Public Health Verified
Abstract Objective: To systematically evaluate the methodological quality and measurement properties of behavior-related self-management assessment instruments for patients with diabetes, and to provide evidence-based guidance for healthcare professionals when selecting appropriate assessment instruments.
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Machine learning-based risk predictive models for depression in patients with diabetes: a systematic review and meta-analysis

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By Guiying Guo, Jun L Zhou, Mengqi Han, Yuanyuan Cui, Zhenglin Chen, Xingxin Cai
| Frontiers
Abstract Background: Currently, numerous studies have employed machine learning (ML) methods to develop predictive models for depression risk in patients with diabetes mellitus (DM); however, the findings remain inconsistent. Therefore, this study aims to clarify the current state of research and emerging trends in this field by systematically evaluating the performance, strengths, and limitations of existing prediction models.
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Machine learning-driven dissection of the obesity-ccRCC interface: FCGR2A emerges as a central coordinator of tumor-immune crosstalk

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By Zhongyuan He, Zheng Wang, Shuai Liu, Wenjie Liu, Guiying Guo, Shang Lai, Xunfei Yin, Dawang Zheng
| Frontiers
1Department of Urology, The First Affiliated Hospital of Harbin Medical University, Haerbin, Heilongjiang, China 2Department of Urology, The Third Affiliated Hospital of Qiqihar Medical College, Qiqihaer, Heilongjiang, China 3Department of Urology, Nehe City People’s Hospital, Nehe, Heilongjiang, China Introduction: Obesity is a well-established risk modifier for clear cell renal cell carcinoma (ccRCC), yet the molecular mechanisms linking these conditions remain incompletely characterized.
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