Interpretable machine learning analysis to identify risk factors for diabetes using the anonymous living census data of Japan

PURPOSE: Diabetes mellitus causes various problems in our life. With the big data boom in our society, some risk factors for Diabetes must still exist. To identify new risk factors for diabetes in the big data society and explore further efficient use of big data, the non-objective-oriented census d...

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Detalles Bibliográficos
Autores principales: Jiang, Pei, Suzuki, Hiroyuki, Obi, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876749/
https://www.ncbi.nlm.nih.gov/pubmed/36718178
http://dx.doi.org/10.1007/s12553-023-00730-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876749/
https://www.ncbi.nlm.nih.gov/pubmed/36718178
http://dx.doi.org/10.1007/s12553-023-00730-w

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