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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| 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 |