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ETHNOS_APP

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Mengping Zeng

Datos Biográficos

ID10017336
NOMBREMengping Zeng
NOMBRESMengping
APELLIDOZeng
FIRMAZENG M
AFILIACIONESCentral South University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • A Prediction Model of the Incidence of Nonalcoholic Fatty Liver Disease With Visceral Fatty Obesity

    Yang Zhou, Xiangping Chai et al.

    Objective: This study aimed to distinguish the risk variables of nonalcoholic fatty liver disease (NAFLD) and to construct a prediction model of NAFLD in visceral fat obesity in Japanese adults. Methods: = 455), respectively. The LASSO method and multivariate regression analysis were performed for selecting risk factors in the training group. Then, overlapping features were selected to screen the effective and suitable risk variables for NAFLD wi…

Sin obras prominentes en esta página.

  • A Prediction Model of the Incidence of Nonalcoholic Fatty Liver Disease With Visceral Fatty Obesity

    Yang Zhou, Xiangping Chai et al.

    Objective: This study aimed to distinguish the risk variables of nonalcoholic fatty liver disease (NAFLD) and to construct a prediction model of NAFLD in visceral fat obesity in Japanese adults. Methods: = 455), respectively. The LASSO method and multivariate regression analysis were performed for selecting risk factors in the training group. Then, overlapping features were selected to screen the effective and suitable risk variables for NAFLD wi…

Bariatric Surgery and Outcomes (1 obra) · Cohort (1 obra) · Cohort study (1 obra) · Confidence interval (1 obra) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 obra) · Disease (1 obra) · Environmental health (1 obra) · Fatty liver (1 obra) · Hazard ratio (1 obra) · Internal Medicine (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