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ETHNOS_APP

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Tak-Ming Chan

Dados Biográficos

ID7869882
NOMETak-Ming Chan
PRENOMESTak-Ming
SOBRENOMEChan
ASSINATURACHAN T
AFILIAÇÕESPhilips (China)
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2016
ANO MAIS RECENTE DE PUBLICAÇÃO2016
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…

Sem obras proeminentes nesta 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 • 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