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Kohei Akazawa

Datos Biográficos

ID10017023
NOMBREKohei Akazawa
NOMBRESKohei
APELLIDOAkazawa
FIRMAAKAZAWA K
AFILIACIONESNiigata University Medical and Dental Hospital
ORCID0000-0002-8434-1376
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
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…

Sin obras prominentes en esta página.

  • 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 • 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