自己組織化マップによる血液サンプル取り違えの検出

DOI

書誌事項

タイトル別名
  • Detection of Confused Blood Samples by Self-Organaizing Maps

抄録

In this paper, we propose a detection of confusion for blood samples based on SOM(Self-Organizing Maps). We apply the differentials of time-series CBC(Complete Blood Count) as blood test data, and it is assumed that a confusion is occurred between subjects. The SOM of our method classifies input data into two categories, namely confused data and non-confused ones. Experimental results show that our method achieves the high accuracy of detection especially when the input data, not to be employed during the learning, are applied.

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390282680598304768
  • NII論文ID
    130006981594
  • DOI
    10.11509/sci.sci03.0.5006.0
  • 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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