Prediction of the Onset of Lifestyle-related Diseases Using Regular Health Checkup Data

DOI

Bibliographic Information

Other Title
  • 健診データを用いた生活習慣病の発症予測

Description

<p>This study proposes a method for predicting the onset of lifestyle-related diseases using periodical health checkup data. We carefully examined insurance claims data to identify the onsets of the diseases and used them as correct answers for supervised learning. We adopted the undersampling and bagging approach to address the class imbalance problem. We aimed to predict whether lifestyle-related diseases, other than cancer, will develop within one year. The precision and recall of the proposed method were 0.32 and 0.89, respectively. Compared with a baseline that sets thresholds for each examination item and considers their logical sum, it was found that much higher precision could be obtained while maintaining recall, which is meaningful as it allows for the suppression of the number of targets for health guidance, without increasing the negligence of those that are likely to become severely ill.</p>

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Keywords

Details 詳細情報について

  • CRID
    1390001277395583104
  • NII Article ID
    130007658808
  • DOI
    10.11517/pjsai.jsai2019.0_4d3e205
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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