Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Mayuko Yamada Harada

Dados Biográficos

ID10021337
NOMEMayuko Yamada Harada
PRENOMESMayuko Yamada
SOBRENOMEHarada
ASSINATURAHARADA M Y
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • Machine learning approach to predict body weight in adults

    Open Access•Kazuya Fujihara, Ilídia da Ascenção Garrido Martins Juras et al.•ARTICLE•Frontiers in Public Health•2023

    The HMLT-based machine learning model could successfully predict weight change over 3 years. Our model could automatically identify groups whose lifestyle profoundly impacted weight loss and factors the influenced body weight change in individuals. Although this model must be validated in other populations, including other ethnic groups, before being widely implemented in global clinical settings, results suggested that this machine learning mode…

Sem obras proeminentes nesta página.

  • Machine learning approach to predict body weight in adults

    Open Access•Kazuya Fujihara, Ilídia da Ascenção Garrido Martins Juras et al.•ARTICLE•Frontiers in Public Health•2023

    The HMLT-based machine learning model could successfully predict weight change over 3 years. Our model could automatically identify groups whose lifestyle profoundly impacted weight loss and factors the influenced body weight change in individuals. Although this model must be validated in other populations, including other ethnic groups, before being widely implemented in global clinical settings, results suggested that this machine learning mode…

Coastal and Marine Management (1 obra) · Fish biology, ecology, and behavior (1 obra) · Marine and fisheries research (1 obra) · Physics (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