- A Study on the Information Monitoring System for Leprosy related Service
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Kim JP, Ko YH
- KMID: 1993564
- Korean Lepr Bull.
- 2004 Jul;37(1):81-103.
To improve and keep the competitiveness, it is necessary to keep pace with available changes in technology, and it is essential to establish the flexible and accurate information system about... -
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- Using Text Network Analysis for Analyzing Academic Papers in Nursing
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Park CS
- KMID: 2444997
- Perspect Nurs Sci.
- 2019 Apr;16(1):12-24.
- doi: 10.16952/pns.2019.16.1.12
PURPOSE: This study examined the suitability of using text network analysis (TNA) methodology for topic analysis of academic papers related to nursing. METHODS: TNA background theories, software programs, and research processes... -
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- Applying a Mutual Information Theory Based Feature Selection Method to a Classifier
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Lee SM
- KMID: 2330598
- J Korean Soc Med Inform.
- 2005 Sep;11(3):247-253.
OBJECTIVE: The purpose of this study was to explore the usability of a feature selection method based on the mutual information theory to increase predictive performance of a classifier in... -
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- Study on Interpretation of Quantitative Results of Prostate-specific Antigen Using Information Theory
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Hwang SH, Oh HB, Pyo T, Lee HJ, Lee KJ
- KMID: 1781641
- Korean J Lab Med.
- 2010 Aug;30(4):357-363.
- doi: 10.3343/kjlm.2010.30.4.357
BACKGROUND: The prostate-specific antigen (PSA) is considered the most useful among tumor markers currently used. However, its quantitative results are interpreted only qualitatively for the diagnosis of prostate cancer. The... -
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- Independent Component Analysis(ICA) of Sleep Waves
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Lee IK
- KMID: 2317357
- Sleep Med Psychophysiol.
- 2001 Jun;8(1):67-71.
Independent Component Analysis (ICA) is a blind source separation method using unsupervised learning and mutual information theory created in the late eighties and developed in the nineties. It has already... -
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