| Presentation | 2004/11/29 QC Chart Mining(Scientific Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) MASANORI INADA, TAKAO TERANO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents a novel method: "QC Chart Mining" which aims at extracting systematic error patterns from quality control charts at a medical laboratory. In this paper we describe the basic principle of a time decomposition mechanism for QC Chart Mining in order to detect substantial systematic errors, which might deteriorate clinical test data in their analytical processes. QC Chart Mining is used to recognize quality problems such as long-term trends and/or daily cyclic variations in analytical processes of clinical tests, then to improve the quality level over clinical laboratory medicine. Intensive experiments from both actual quality-control data and artificial data have revealed the validity of the proposed method. Our results have shown that the proposed method is useful and effective for quality managements in a medical laboratory. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | AI2004-45 |
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| Committee | AI |
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| Conference Date | 2004/11/29(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | QC Chart Mining(Scientific Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) |
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| 1st Author's Name | MASANORI INADA |
| 1st Author's Affiliation | Department of Clinical Laboratory, Toranomon Hospital:Graduate School of Systems Management, Tsukuba University() |
| 2nd Author's Name | TAKAO TERANO |
| 2nd Author's Affiliation | Graduate School of Systems Management, Tsukuba University:Department of Computational Intelligence and Systems Science,Tokyo Institute of Technology |
| Date | 2004/11/29 |
| Paper # | AI2004-45 |
| Volume (vol) | vol.104 |
| Number (no) | 487 |
| Page | pp.pp.- |
| #Pages | 6 |
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