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Ying-Chen Yang

Datos Biográficos

ID7304557
NOMBREYing-Chen Yang
NOMBRESYing-Chen
APELLIDOYang
FIRMAYANG Y
AFILIACIONESNational Ilan University
ORCID0000-0002-8116-663X
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2011
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model

    Open Access•Chao‐Yu Guo, Chao-Yu Guo et al.•ARTICLE•Frontiers in Public Health•2021

    An adequate imputation of missing data would significantly preserve the statistical power and avoid erroneous conclusions. In the era of big data, machine learning is a great tool to infer the missing values. The root means square error (RMSE) and the proportion of falsely classified entries (PFC) are two standard statistics to evaluate imputation accuracy. However, the Cox proportional hazards model using various types requires deliberate study,…

  • Gastrodia elata prevents huntingtin aggregations through activation of the adenosine A2A receptor and ubiquitin proteasome system

    Open Access•Chuen-Lin Huang, Jung-Mou Yang et al.•ARTICLE•Journal of Ethnopharmacology•2011

  • The neuroprotective effects of an extract of Gastrodia elata

    Open Access•Chung-Fen Tsai, Chuen-Lin Huang et al.•ARTICLE•Journal of Ethnopharmacology•2011

Sin obras prominentes en esta página.

  • Gastrodia elata prevents huntingtin aggregations through activation of the adenosine A2A receptor and ubiquitin proteasome system

    Open Access•Chuen-Lin Huang, Jung-Mou Yang et al.•ARTICLE•Journal of Ethnopharmacology•2011

  • The neuroprotective effects of an extract of Gastrodia elata

    Open Access•Chung-Fen Tsai, Chuen-Lin Huang et al.•ARTICLE•Journal of Ethnopharmacology•2011

  • The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model

    Open Access•Chao‐Yu Guo, Chao-Yu Guo et al.•ARTICLE•Frontiers in Public Health•2021

    An adequate imputation of missing data would significantly preserve the statistical power and avoid erroneous conclusions. In the era of big data, machine learning is a great tool to infer the missing values. The root means square error (RMSE) and the proportion of falsely classified entries (PFC) are two standard statistics to evaluate imputation accuracy. However, the Cox proportional hazards model using various types requires deliberate study,…

Biochemistry (2 obras) · Biology (2 obras) · Chemistry (2 obras) · Gastrodia elata (2 obras) · Medicine (2 obras) · Neuroprotection (2 obras) · Pharmacology (2 obras) · Apoptosis (1 obras) · Artificial Intelligence (1 obras) · Bioactive natural compounds (1 obras)

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