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

HIGHLIGHTS

• who: Pei Jiang from the for diabetes using the anonymous living census data of Japan have published the research work: Interpretable machine learning analysis to identify risk factors for diabetes using the anonymous living census data of Japan, in the Journal: (JOURNAL)
• what: In contrast to Mika et_al identifying that life environment affects DM, the analysis showed for the first time that insurance type and national pension would lighten the risk of DM in some aspects in Japan. 6 Conclusion No-objective-oriented census data were analyzed using various interpretable machine_learning methods in this study . . .
  

   

  

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