Detection of Confused Blood Samples by Self-Organaizing Maps
-
- Ohtsuka Akitsugu
- Himeji Institute of Technology
-
- Kamiura Naotake
- Himeji Institute of Technology
-
- Isokawa Teijiro
- Himeji Institute of Technology
-
- Matsui Nobuyuki
- Himeji Institute of Technology
-
- Okamoto Minoru
- Sysmex Corporation
-
- Koeda Noriaki
- Sysmex Corporation
Bibliographic Information
- Other Title
-
- 自己組織化マップによる血液サンプル取り違えの検出
Abstract
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.
Journal
-
- Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
-
Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers SCI03 (0), 5006-5006, 2003
The Institute of Systems, Control and Information Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390282680598304768
-
- NII Article ID
- 130006981594
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed