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Yanrui Chen

Biographic Data

ID8347052
NAMEYanrui Chen
GIVEN NAMESYanrui
FAMILY NAMEChen
SIGNATURECHEN Y
AFFILIATIONSGuilin Medical University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Enhancing diabetes risk stratification through natural language processing

    Open Access•Yaoyan Lu, Tingting Li et al.•ARTICLE•Frontiers in Public Health•2026

    Background This study investigates whether integrating Natural Language Processing (NLP) with traditional clinical data improves type 2 diabetes risk prediction by extracting latent risk factors from unstructured medical text. Methods We analyzed a public dataset of 1,879 individuals. Structured variables (BMI, HbA1c, blood pressure) were normalized, while unstructured textual entries (symptom descriptions, lifestyle notes) were processed using a…

  • Dual assurance for healthcare and future education development

    Open Access•Xiaoyan Peng, Yanzhao Zeng et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction: City in Guangdong Province as the focal area. Addressing both healthcare and educational concerns, this research seeks to provide insights that can guide policy and support for this demographic. Methods: Utilizing big data analysis and deep learning algorithms, a targeted intelligent identification classification model was developed to accurately detect and classify rural low-income individuals. Additionally, a questionnaire survey …

No prominent works on this page.

  • Dual assurance for healthcare and future education development

    Open Access•Xiaoyan Peng, Yanzhao Zeng et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction: City in Guangdong Province as the focal area. Addressing both healthcare and educational concerns, this research seeks to provide insights that can guide policy and support for this demographic. Methods: Utilizing big data analysis and deep learning algorithms, a targeted intelligent identification classification model was developed to accurately detect and classify rural low-income individuals. Additionally, a questionnaire survey …

  • Enhancing diabetes risk stratification through natural language processing

    Open Access•Yaoyan Lu, Tingting Li et al.•ARTICLE•Frontiers in Public Health•2026

    Background This study investigates whether integrating Natural Language Processing (NLP) with traditional clinical data improves type 2 diabetes risk prediction by extracting latent risk factors from unstructured medical text. Methods We analyzed a public dataset of 1,879 individuals. Structured variables (BMI, HbA1c, blood pressure) were normalized, while unstructured textual entries (symptom descriptions, lifestyle notes) were processed using a…

Advanced Technologies in Various Fields (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Business (1 work) · Cardiovascular Health and Risk Factors (1 work) · Cohort (1 work) · Economic growth (1 work) · Economics (1 work) · Environmental health (1 work) · Framingham Risk Score (1 work)

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