Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Tak-Ming Chan

Datos Biográficos

ID7869882
NOMBRETak-Ming Chan
NOMBRESTak-Ming
APELLIDOChan
FIRMACHAN T
AFILIACIONESPhilips (China)
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2016
AÑO MÁS RECIENTE DE PUBLICACIÓN2016
ÍNDICE H0
  • Utilizing Chinese Admission Records for Mace Prediction of Acute Coronary Syndrome

    Open Access•Danqing Hu, Zhengxing Huang et al.•ARTICLE•International Journal of…•2016

    Experimental results reveal that our approach can obtain competitive performance in MACE prediction. The comparison of classifiers indicates the proposed approach has a competitive generality with datasets extracted by different feature extraction methods. Furthermore, our MACE prediction model obtained a significant improvement by comparison with both GRACE and TIMI. It indicates that using admission records can effectively provide MACE predicti…

Sin obras prominentes en esta página.

  • Utilizing Chinese Admission Records for Mace Prediction of Acute Coronary Syndrome

    Open Access•Danqing Hu, Zhengxing Huang et al.•ARTICLE•International Journal of…•2016

    Experimental results reveal that our approach can obtain competitive performance in MACE prediction. The comparison of classifiers indicates the proposed approach has a competitive generality with datasets extracted by different feature extraction methods. Furthermore, our MACE prediction model obtained a significant improvement by comparison with both GRACE and TIMI. It indicates that using admission records can effectively provide MACE predicti…

Acute coronary syndrome (1 obra) · Artificial Intelligence in Healthcare (1 obra) · Cardiology (1 obra) · Conventional PCI (1 obra) · Internal Medicine (1 obra) · Mace (1 obra) · Machine Learning in Healthcare (1 obra) · Medicine (1 obra) · Myocardial infarction (1 obra) · Traditional Chinese Medicine Studies (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae