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Jiaxue Cui

Biographic Data

ID10016031
NAMEJiaxue Cui
GIVEN NAMESJiaxue
FAMILY NAMECui
SIGNATURECUI J
AFFILIATIONSDalian Medical University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Application of machine learning algorithms to identify people with low bone density

    Open Access•Rongxuan Xu, Yongxing Chen et al.•ARTICLE•Frontiers in Public Health•2024

    Background: Osteoporosis is becoming more common worldwide, imposing a substantial burden on individuals and society. The onset of osteoporosis is subtle, early detection is challenging, and population-wide screening is infeasible. Thus, there is a need to develop a method to identify those at high risk for osteoporosis. Objective: This study aimed to develop a machine learning algorithm to effectively identify people with low bone density, using…

  • Health status of the population in Naqu, Tibet and its latent class analysis

    Open Access•Jiaxue Cui, Ouzhu Nima et al.•ARTICLE•Frontiers in Public Health•2023

    Background: Through a survey and analysis of the population's present state of health, it is possible to give data support for improving the health status of inhabitants in Naqu, Tibet. Additionally, it is possible to provide specific recommendations for the development of medical and healthcare facilities in Tibet. Methods: The health scores of the participants were based on their responses to the four main sections of the questionnaire: dietary…

No prominent works on this page.

  • Health status of the population in Naqu, Tibet and its latent class analysis

    Open Access•Jiaxue Cui, Ouzhu Nima et al.•ARTICLE•Frontiers in Public Health•2023

    Background: Through a survey and analysis of the population's present state of health, it is possible to give data support for improving the health status of inhabitants in Naqu, Tibet. Additionally, it is possible to provide specific recommendations for the development of medical and healthcare facilities in Tibet. Methods: The health scores of the participants were based on their responses to the four main sections of the questionnaire: dietary…

  • Application of machine learning algorithms to identify people with low bone density

    Open Access•Rongxuan Xu, Yongxing Chen et al.•ARTICLE•Frontiers in Public Health•2024

    Background: Osteoporosis is becoming more common worldwide, imposing a substantial burden on individuals and society. The onset of osteoporosis is subtle, early detection is challenging, and population-wide screening is infeasible. Thus, there is a need to develop a method to identify those at high risk for osteoporosis. Objective: This study aimed to develop a machine learning algorithm to effectively identify people with low bone density, using…

Medicine (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Bone density (1 work) · Bone health and osteoporosis research (1 work) · China's Ethnic Minorities and Relations (1 work) · Computer Science (1 work) · Cross-sectional study (1 work) · Demography (1 work)

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