• Explosives and Blasting
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• v.17 no.3
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• pp.72-73
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• 1999

• Food preservation and processing industry
• /
• v.9 no.2
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• pp.21-31
• /
• 2010

• JOURNAL OF ELECTRICAL WORLD
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• no.11 s.71
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• pp.10-15
• /
• 1982

• Bulletin of Food Technology
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• v.22 no.1
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• pp.104-109
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• 2009

• JOURNAL OF ELECTRICAL WORLD
• /
• no.1 s.109
• /
• pp.25-29
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• 1986

• JOURNAL OF ELECTRICAL WORLD
• /
• no.2 s.110
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• pp.18-23
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• 1986

• Proceedings of the Korean Sanitation Conference
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• 2001.06a
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• pp.1-20
• /
• 2001

• Magazine of RCR
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• v.16 no.4
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• pp.50-56
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• 2021

• Journal of Korean Academy of Nursing
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• v.36 no.4
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• pp.652-661
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• 2006

Purpose. The purposes of this study were to apply data mining tool to nursing specific knowledge discovery process and to identify the utilization of data mining skill for clinical decision making. Methods. Data mining based on rough set model was conducted on a large clinical data set containing NMDS elements. Randomized 1000 patient data were selected from year 1998 database which had at least one of the five most frequently used nursing diagnoses. Patient characteristics and care service characteristics including nursing diagnoses, interventions and outcomes were analyzed to derive the meaningful decision rules. Results. Number of comorbidity, marital status, nursing diagnosis related to risk for infection and nursing intervention related to infection protection, and discharge status were the predictors that could determine the length of stay. Four variables (age, impaired skin integrity, pain, and discharge status) were identified as valuable predictors for nursing outcome, relived pain. Five variables (age, pain, potential for infection, marital status, and primary disease) were identified as important predictors for mortality. Conclusions. This study demonstrated the utilization of data mining method through a large data set with stan dardized language format to identify the contribution of nursing care to patient's health.

• Health Policy and Management
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• v.31 no.4
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• pp.531-543
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• 2021

Background: Population aging is a serious problem in Korea. And we have experienced a rapid increase in the health expenditures of the elderly. The purpose of this paper is to analyze the effect of having a usual source of care (USC) for the elderly. Methods: This study used the Korea Health Panel Survey data of 2012, 2013, 2016, 2017, and 2018. The sample was the person who answered the USC questions among the elderly. The panel logit model was used to analyze the determinants of having USC and the panel simultaneous equation model was used to analyze the effect of having USC among the elderly on the medical expenses, medical utilization, and subjective health status. Results: The estimation result shows that age, income, marriage, and so forth turn out to be the factors of having USC. Having the clinic level USC is estimated to reduce the health care utilization and the health expenditure and to improve the subjective health status. Conclusion: It is expected that the result of our analysis will provide evidence for encouraging having USC.