ヘルスケアデータマイニングによる体組成と活動パターンの類型化

DOI

書誌事項

タイトル別名
  • Classification of Body Composition and Activity Patterns by Data Mining of Healthcare Data

抄録

Healthcare data is rapidly increasing as healthcare smart devices are developed. However, statistical analysis of healthcare big data is difficult due to heterogeneity in data quality and missing data. For such data, data mining methods such as clustering and dimension reduction may be useful as their preliminary analysis. In this paper, we show two illustrative applications; one is a principal component analysis of body composition data and the other is a latent topic analysis of hourly step-count dataset recorded by physical activity monitors. From those analyses, we proposed independent indices of body size and hidden obesity and extracted some diurnal patterns in ambulatory activities.

収録刊行物

  • 横幹

    横幹 13 (1), 15-22, 2019

    特定非営利活動法人 横断型基幹科学技術研究団体連合

キーワード

詳細情報 詳細情報について

  • CRID
    1390282763106706688
  • NII論文ID
    130007631560
  • DOI
    10.11487/trafst.13.1_15
  • ISSN
    21896399
    18817610
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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