• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.418-428
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• 2015

This study conducted influencing and mediated effect on stroke to lead correct health behavior of stroke patients and tried to provide preliminary data of stroke prevention. It used stage 4 and 5 data of a national health and nutrition examination survey, analysis method was frequency analysis, Chi-square test, multiple logistic regression and structural equation modeling. In case of male, factors affecting to stroke were age, job, self-related health, alcohol, hypertention and diabetes. In case of female, age, job, self-related health, stress level and hypertention affected to stroke. In tested results on whether or not mediated effect of preceding disease exists, 5.80 difference in ${\chi}^2$ between partial mediated modeling and full mediated modeling was statistically significant(p<0.01). Therefore, partial mediated modeling was adequate to this study. We need preventive health education for changing wrong health behaviors and policy that strengthens health care network. If someone has preceding disease, they need long-term diagnosis for health condition and continuous improvement in life style.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.408-417
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• 2017

This study was conducted to examine the influence of the nurse staffing level on the level of in-hospital death and infection in cancer patients who received surgery. Secondary data were used and the subjects of this study were 24,510 patients who received surgery for six types of cancer with a high postoperative mortality rate in the first half of 2012 at 260 hospitals. Simple logistic and GEE multiple logistic regression analyses were used. After adjusting for the patient and hospital characteristics, a greater likelihood of dying was found in the nurse staffing level 2-3 group (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.00-2.11) and in the level 6-7 group (OR, 3.28; 95% CI, 1.87-5.74) compared to the level 0-1 group. The likelihood of in-hospital infection increased with each additional bed per nurse, being 6.63 times higher (95% CI, 3.00-14.62) in the level 2-3 group, 5.79 times higher (95% CI, 1.88-17.78) in the level 4-5 group, and 8.4 times higher (95% CI, 1.82-38.84) in the level 6-7 group, as compared to the level 0-1 group. A lower nurse staffing level was associated with higher in-hospital death and infection levels. This shows that an appropriate nurse staffing level is associated with superior postoperative cancer patient outcomes. Policies for providing adequate nurse staffing should be maintained for the sake of ensuring improved care quality and patient safety.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.1-6
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• 2019

In this study, the development of a weight estimation model of electronic scale with nonlinear characteristics is presented using polynomial regression analysis. The output voltage of the load cell was measured directly using the reference mass. And a polynomial regression model was obtained using the matrix and curve fitting function of MS Office Excel. The weight was measured in 100g units using a load cell electronic scale measuring up to 5kg and the polynomial regression model was obtained. The error was calculated for simple($1^{st}$), $2^{nd}$ and $3^{rd}$ order polynomial regression. To analyze the suitability of the regression function for each model, the coefficient of determination was presented to indicate the correlation between the estimated mass and the measured data. Using the third order polynomial model proposed here, a very accurate model was obtained with a standard deviation of 10g and the determinant coefficient of 1.0. Based on the theory of multi regression model presented here, it can be used in various statistical researches such as weather forecast, new drug development and economic indicators analysis using logistic regression analysis, which has been widely used in artificial intelligence fields.