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Fangxu Yin

Datos Biográficos

ID9993391
NOMBREFangxu Yin
NOMBRESFangxu
APELLIDOYin
FIRMAYIN F
AFILIACIONESBinzhou Medical University
ORCID0000-0002-8211-5420
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Development and validation of nomograms for predicting overall survival and cancer specific survival in locally advanced breast cancer patients

    Open Access•Fangxu Yin, Song Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: For patients with locally advanced breast cancer (LABC), conventional TNM staging is not accurate in predicting survival outcomes. The aim of this study was to develop two accurate survival prediction models to guide clinical decision making. Methods: A retrospective analysis of 22,842 LABC patients was performed from 2010 to 2015 using the Surveillance, Epidemiology and End Results (SEER) database. An additional cohort of 200 patient…

Sin obras prominentes en esta página.

  • Development and validation of nomograms for predicting overall survival and cancer specific survival in locally advanced breast cancer patients

    Open Access•Fangxu Yin, Song Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: For patients with locally advanced breast cancer (LABC), conventional TNM staging is not accurate in predicting survival outcomes. The aim of this study was to develop two accurate survival prediction models to guide clinical decision making. Methods: A retrospective analysis of 22,842 LABC patients was performed from 2010 to 2015 using the Surveillance, Epidemiology and End Results (SEER) database. An additional cohort of 200 patient…

Breast cancer (1 obras) · Breast Cancer Treatment Studies (1 obras) · Breast Lesions and Carcinomas (1 obras) · Cancer (1 obras) · Cohort (1 obras) · Cohort study (1 obras) · Computer Science (1 obras) · Concordance (1 obras) · Confidence interval (1 obras) · Global Cancer Incidence and Screening (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