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ETHNOS_APP

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Chao-Jung Huang

Dados Biográficos

ID7756663
NOMEChao-Jung Huang
PRENOMESChao-Jung
SOBRENOMEHuang
ASSINATURAHUANG C
AFILIAÇÕESNational Taiwan University
ORCID0000-0002-4293-9492
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Real-world risk stratification for coronary heart disease

    Open Access•Yaqi Zhang, Yifu Mo et al.•ARTICLE•BMC Public Health•2025

    Coronary heart disease (CHD), the most common form of heart disease, progresses over years before culminating in serious cardiac events. Early prediction and intervention are critical to reducing CHD-related morbidity, mortality, and healthcare burden. To develop and validate a machine learning model using statewide electronic health records (EHRs) to predict 1-year risk of CHD in the general population of Maine, enabling targeted preventive stra…

Sem obras proeminentes nesta página.

  • Real-world risk stratification for coronary heart disease

    Open Access•Yaqi Zhang, Yifu Mo et al.•ARTICLE•BMC Public Health•2025

    Coronary heart disease (CHD), the most common form of heart disease, progresses over years before culminating in serious cardiac events. Early prediction and intervention are critical to reducing CHD-related morbidity, mortality, and healthcare burden. To develop and validate a machine learning model using statewide electronic health records (EHRs) to predict 1-year risk of CHD in the general population of Maine, enabling targeted preventive stra…

Artificial Intelligence in Healthcare (1 obras) · Biostatistics (1 obras) · Cardiovascular Health and Risk Factors (1 obras) · Cohort (1 obras) · Cohort study (1 obras) · Framingham Risk Score (1 obras) · Health information exchange (1 obras) · Machine Learning in Healthcare (1 obras) · Population (1 obras) · Prospective cohort study (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae