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ETHNOS_APP

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Kohei Akazawa

Dados Biográficos

ID10017023
NOMEKohei Akazawa
PRENOMESKohei
SOBRENOMEAkazawa
ASSINATURAAKAZAWA K
AFILIAÇÕESNiigata University Medical and Dental Hospital
ORCID0000-0002-8434-1376
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Development of a machine learning tool to predict the risk of incident chronic kidney disease using health examination data

    Open Access•Yuki Yoshizaki, Kiminori Kato et al.•ARTICLE•Frontiers in Public Health•2024

    Background Chronic kidney disease (CKD) is characterized by a decreased glomerular filtration rate or renal injury (especially proteinuria) for at least 3 months. The early detection and treatment of CKD, a major global public health concern, before the onset of symptoms is important. This study aimed to develop machine learning models to predict the risk of developing CKD within 1 and 5 years using health examination data. Methods Data were coll…

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  • Development of a machine learning tool to predict the risk of incident chronic kidney disease using health examination data

    Open Access•Yuki Yoshizaki, Kiminori Kato et al.•ARTICLE•Frontiers in Public Health•2024

    Background Chronic kidney disease (CKD) is characterized by a decreased glomerular filtration rate or renal injury (especially proteinuria) for at least 3 months. The early detection and treatment of CKD, a major global public health concern, before the onset of symptoms is important. This study aimed to develop machine learning models to predict the risk of developing CKD within 1 and 5 years using health examination data. Methods Data were coll…

Artificial Intelligence (1 obra) · Artificial Intelligence in Healthcare (1 obra) · Chronic Kidney Disease and Diabetes (1 obra) · Computer Science (1 obra) · Data science (1 obra) · Disease (1 obra) · Internal Medicine (1 obra) · Kidney disease (1 obra) · Machine learning (1 obra) · Machine Learning in Healthcare (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