An application of Self Organizing Map to detection of confused Blood Samples

Akitsugu Ohtsuka; Naotake Kamiura; Teijiro Isokawa; Naoki Minamide; Minoru Okamoto; Noriaki Koeda; Nobuyuki Matsui

doi:10.11499/sicep.2004.0_16_3

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_16_3

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

An application of Self Organizing Map to detection of confused Blood Samples

*Akitsugu Ohtsuka, Naotake Kamiura, Teijiro Isokawa, Naoki Minamide, Minoru Okamoto, Noriaki Koeda, Nobuyuki Matsui

Author information

Keywords: blood test, detection of confused data, self organizing map

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 16

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Abstract

We propose a cost-aware method of detecting blood samples confused among different patients, using Self Organizing Maps. The map consists of a cluster reacting to confused data and that reacting to non-confused data. It is completed so that the latter cluster can become larger than the former, and allows reducing drastically the number of samples wrongly judged to be retested.

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