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Zeyuan Liu

Biographic Data

ID3927650
NAMEZeyuan Liu
GIVEN NAMESZeyuan
FAMILY NAMELiu
SIGNATURELIU Z
AFFILIATIONSKunming General Hospital of Chengdu Military Command
ORCID0000-0003-3862-6079
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS3
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Development and explanation of electrocardiogram-based deep learning for predicting short-term mortality in heart failure patients

    Open Access•Yan Li, Lixia Cheng et al.•ARTICLE•Journal of Global Health•2026

    Background: Heart failure mortality has risen sharply after years of decline, highlighting the limitations of current risk assessment tools in accuracy, complexity, and cost, and the need for improved predictive models. To address this gap, we developed and validated a deep learning model to improve short-term mortality prediction in heart failure patients. Methods: In this retrospective study, we leveraged the Medical Information Mart for Intens…

  • Green growth and urban employment

    Open Access•Jiacheng Shao, Zeyuan Liu et al.•ARTICLE•Sustainable Development•2024•References: 3

    This study explores the critical yet often overlooked interplay between Sustainable Development Goal 15 (SDG 15), which focuses on preserving natural capital, and SDG 8, which targets economic growth and employment. While extensive research has examined the direct benefits of ecosystem conservation, namely ecosystem service value, the indirect benefits, particularly on employment outcomes, have frequently been neglected. Utilizing a comprehensive…

  • Safety, tolerability, pharmacokinetics, and food effect of baicalein tablets in healthy Chinese subjects

    Open Access•Ruihua Dong, Lijun Li et al.•ARTICLE•Journal of Ethnopharmacology•2021

  • An overview of the history of Science of Science in China based on the use of bibliographic and citation data

    Open Access•Jean-Charles Lamirel, Yue Chen et al.•ARTICLE•Scientometrics•2020

  • Risk factors and child mortality among the Miao in Yunnan, Southwest China

    Open Access•Peter Foggin, Peter M Foggin et al.•ARTICLE•Social Science & Medicine•2001•Cited by: 3•References: 38

  • Risk factors and child mortality among the Miao in Yunnan, Southwest China

    Open Access•Peter Foggin, Peter M Foggin et al.•ARTICLE•Social Science & Medicine•2001•Cited by: 3•References: 38

  • Risk factors and child mortality among the Miao in Yunnan, Southwest China

    Open Access•Peter Foggin, Peter M Foggin et al.•ARTICLE•Social Science & Medicine•2001•Cited by: 3•References: 38

  • An overview of the history of Science of Science in China based on the use of bibliographic and citation data

    Open Access•Jean-Charles Lamirel, Yue Chen et al.•ARTICLE•Scientometrics•2020

  • Safety, tolerability, pharmacokinetics, and food effect of baicalein tablets in healthy Chinese subjects

    Open Access•Ruihua Dong, Lijun Li et al.•ARTICLE•Journal of Ethnopharmacology•2021

  • Green growth and urban employment

    Open Access•Jiacheng Shao, Zeyuan Liu et al.•ARTICLE•Sustainable Development•2024•References: 3

    This study explores the critical yet often overlooked interplay between Sustainable Development Goal 15 (SDG 15), which focuses on preserving natural capital, and SDG 8, which targets economic growth and employment. While extensive research has examined the direct benefits of ecosystem conservation, namely ecosystem service value, the indirect benefits, particularly on employment outcomes, have frequently been neglected. Utilizing a comprehensive…

  • Development and explanation of electrocardiogram-based deep learning for predicting short-term mortality in heart failure patients

    Open Access•Yan Li, Lixia Cheng et al.•ARTICLE•Journal of Global Health•2026

    Background: Heart failure mortality has risen sharply after years of decline, highlighting the limitations of current risk assessment tools in accuracy, complexity, and cost, and the need for improved predictive models. To address this gap, we developed and validated a deep learning model to improve short-term mortality prediction in heart failure patients. Methods: In this retrospective study, we leveraged the Medical Information Mart for Intens…

Geography (3 works) · Economic growth (2 works) · Medicine (2 works) · Advanced Text Analysis Techniques (1 work) · Adverse effect (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Baicalein (1 work) · Biology (1 work) · Business (1 work)

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