• Journal of Periodontal and Implant Science
• /
• v.52 no.6
• /
• pp.509-521
• /
• 2022

Purpose: Systemic health has a profound effect on dental treatment. The aim of this study was to evaluate peri-implant bone loss and health screening data to discover factors that may influence peri-implant diseases. Methods: This study analyzed the panoramic X-rays of patients undergoing health screenings at the Health Promotion Center at Seoul St. Mary's Hospital in 2018, to investigate the relationship between laboratory test results and dental data. The patients' physical data, such as height, weight, blood pressure, hematological and urine analysis data, smoking habits, number of remaining teeth, alveolar bone level, number of implants, and degree of bone loss around the implant, were analyzed for correlations. Their associations with glycated hemoglobin, glucose, blood urea nitrogen (BUN), creatinine, and severity of periodontitis were evaluated using univariate and multivariate regression analysis. Results: In total, 2,264 patients opted in for dental health examinations, of whom 752 (33.2%) had undergone dental implant treatment. These 752 patients had a total of 2,658 implants, and 129 (17.1%) had 1 or more implants with peri-implant bone loss of 2 mm or more. The number of these implants was 204 (7%). Body mass index and smoking were not correlated with peri-implant bone loss. Stepwise multivariate regression analysis revealed that the severity of periodontal bone loss (moderate bone loss: odds ratio [OR], 3.154; 95% confidence interval [CI], 1.175-8.475 and severe bone loss: OR, 7.751; 95% CI, 3.003-20) and BUN (OR, 1.082; 95% CI, 1.027-1.141) showed statistically significant predictive value. The severity of periodontitis showed greater predictive value than the biochemical parameters of blood glucose, renal function, and liver function. Conclusions: The results of this study showed that periodontal bone loss was a predictor of peri-implant bone loss, suggesting that periodontal disease should be controlled before dental treatment. Diligent maintenance care is recommended for patients with moderate to severe periodontal bone loss.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2004.04a
• /
• pp.523-527
• /
• 2004

This paper presents a new design methods of the short-term load forecasting system (STLFS) using the data mining. The proposed predictor takes form of the convex combination of the linear time series predictors for each inputs. The problem of estimating the consequent parameters is formulated by the convex optimization problem, which is to minimize the norm distance between the real load and the output of the linear time series estimator, The problem of estimating the premise parameters is to find the parameter value minimizing the error between the real load and the overall output. Finally, to show the feasibility of the proposed method, this paper provides the short-term load forecasting example.

• 한국데이터정보과학회:학술대회논문집
• /
• 2003.05a
• /
• pp.1-14
• /
• 2003

In man cases, the measurement error variances may be functions of the unknown true values or related covariate. In some cases, the measurement error variances increase in proportion to the value of predictor. This paper develops estimators of the parameters of a linear measurement error variance function under stratified multistage random sampling design and additional conditions. Also, this paper evaluates and compares the power of an asymptotically unbiased test with that of an asymptotically biased test. The proposed method are applied to blood sample measurements from the U.S. Third National Health and Nutrition Examination Survey(NHANES III)

• Journal of Korean Society for Atmospheric Environment
• /
• v.10 no.4
• /
• pp.245-251
• /
• 1994

We considered that characteristics of SO$_2$, concentration level and relations of the meteorological parameters and high pollution concentration from the data measured 7 air quality continuous monitoring stations during 4 years, from 1990 to 1993 in Pusan. The SO$_2$ concentration level showed decreasing trend yearly, it was maximum in Winter, minimum in Summer. The time of SO$_2$ peak concentration lagged from seashore to land because of break-down of the nocturnal inversion layer and seabreeze. Ihe correlations of daily SO$_2$, value between various air quality continuous monitoring stations were highest between Beomcheondong and Meongryundong, lowest between Daeyeondong and Sinpyeongdong because of difference of air Pollution emission sources characteristic. The meteorological parameters affecting SO$_2$ concentration level were minimum temperature, relative humidity, wind speed and air pressure. The SO$_2$ high pollution($\geq$95ppb) occurred almost in Winter, particulaly in such day showing lower wind speed and higher air pressure. Elementary SO$_2$ high Pollution Predictor were high pressure system and stability of lower atmosphere.

• ETRI Journal
• /
• v.29 no.5
• /
• pp.607-613
• /
• 2007

Most signal-to-noise ratio (SNR) estimation techniques in digital communication channels derive the SNR estimates solely from samples of the received signal after the matched filter. They are based on symbol SNR and assume perfect synchronization and intersymbol interference (ISI)-free symbols. In severe channel distortion where ISI is significant, the performance of these estimators badly deteriorates. We propose an SNR estimator which can operate on data samples collected at the front-end of a receiver or at the input to the decision device. This will relax the restrictions over channel distortions and help extend the application of SNR estimators beyond system monitoring. The proposed estimator uses the characteristics of the second order moments of the additive white Gaussian noise digital communication channel and a linear predictor based on the modified-covariance algorithm in estimating the SNR value. The performance of the proposed technique is investigated and compared with other in-service SNR estimators in digital communication channels. The simulated performance is also compared to the Cram$\acute{e}$r-Rao bound as derived at the input of the decision circuit.

• Asia pacific journal of information systems
• /
• v.30 no.3
• /
• pp.532-546
• /
• 2020

The current study examined the Indian young consumer online shopping self-efficacy in an integrated model. Authors tested the study model (antecedents and consequences of online shopping involvement) with the help of 225 sample data by using first order structural equation modeling. Online shopping enjoyment was found most important predictor of online shopping involvement followed by online accessibility. Further, the impact of online shopping involvement on online shopping self-efficacy was quite high in comparison to online technical self-efficacy. We strongly recommend that the marketers must use internet strategically in establishing dialogue between seller and online shoppers.

• Physical Therapy Korea
• /
• v.27 no.2
• /
• pp.140-148
• /
• 2020

Background: Scapular winging (SW) could be caused by tightness or weakness of the periscapular muscles. Although data mining techniques are useful in classifying or predicting risk of musculoskeletal disorder, predictive models for risk of musculoskeletal disorder using the results of clinical test or quantitative data are scarce. Objects: This study aimed to (1) investigate the difference between young women with and without SW, (2) establish a predictive model for presence of SW, and (3) determine the cutoff value of each variable for predicting the risk of SW using the decision tree method. Methods: Fifty young female subjects participated in this study. To classify the presence of SW as the outcome variable, scapular protractor strength, elbow flexor strength, shoulder internal rotation, and whether the scapula is in the dominant or nondominant side were determined. Results: The classification tree selected scapular protractor strength, shoulder internal rotation range of motion, and whether the scapula is in the dominant or nondominant side as predictor variables. The classification tree model correctly classified 78.79% (p = 0.02) of the training data set. The accuracy obtained by the classification tree on the test data set was 82.35% (p = 0.04). Conclusion: The classification tree showed acceptable accuracy (82.35%) and high specificity (95.65%) but low sensitivity (54.55%). Based on the predictive model in this study, we suggested that 20% of body weight in scapular protractor strength is a meaningful cutoff value for presence of SW.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.12
• /
• pp.6455-6461
• /
• 2012

Objective: E-cadherin has been identified as a tumor suppressor in many types of carcinoma. However, some studies recently suggested that the role and expression of E-cadherin might be more complex and diverse. In the present study, we evaluated the prognostic value of E-cadherin expression with reference to levels in membranes and cytoplasm, and the membrane/cytoplasm ratio, in hepatocellular carcinomas (HCCs) after curative hepatectomy. Methods: The expression of E-cadherin was assessed by immunohistochemistry in HCC tissue microarrays from 125 patients, and its prognostic values and other clinicopathlogical data were retrospectively analyzed. Patients were followed for a median period of 43.7 months (range 1 to 126 months). Results: Univariate analysis demonstrated that a high membrane/cytoplasm (M/C) ratio of E-cadherin expression was associated with poor overall survival (OS) (P =0.001) and shorter time to recurrence (TTR) (P=0.038), as well as tumor size, intrahepatic metastasis, and TNM stage. In contrast, neither membrane nor cytoplasmic expression of E-cadherin was related with OS and TTR. Furthermore, multivariate analysis confirmed the M/C ratio to be an independent predictor of OS (P=0.031). ${\chi}^2$ tests additionally showed that the M/C ratio of E-cadherin expression was related with early stage recurrence (P=0.012), rather than later stage recurrence. Conclusion: The M/C ratio of E-cadherin expression is a strong predictor of postoperative survival and is associated with early stage recurrence in patients with HCC.

• Acute and Critical Care
• /
• v.33 no.4
• /
• pp.260-268
• /
• 2018

Background: The purpose of this study was to evaluate the clinical application of modified Burns Wean Assessment Program (m-BWAP) scoring at first spontaneous breathing trial (SBT) as a predictor of successful liberation from mechanical ventilation (MV) in patients with endotracheal intubation. Methods: Patients requiring MV for more than 72 hours and undergoing more than one SBT in a medical intensive care unit (ICU) were prospectively enrolled over a 3-year period. The m-BWAP score at first SBT was obtained by a critical care nursing practitioner. Results: A total of 103 subjects were included in this study. Their median age was 69 years (range, 22 to 87 years) and 72 subjects (69.9%) were male. The median duration from admission to first SBT was 5 days (range, 3 to 26 days), and the rate of final successful liberation from MV was 84.5% (n=87). In the total group of patients, the successful liberation from MV group at first SBT (n=65) had significantly higher m-BWAP scores than did the unsuccessful group (median, 60; range, 43 to 80 vs. median, 53; range, 33 to 70; P<0.001). Also, the area under the m-BWAP curve for predicting successful liberation of MV was 0.748 (95% confidence interval, 0.650 to 0.847), while the cutoff value based on Youden's index was 53 (sensitivity, 76%; specificity, 64%). Conclusions: The present data show that the m-BWAP score represents a good predictor of weaning success in patients with an endotracheal tube in place at first SBT.

• Journal of Yeungnam Medical Science
• /
• v.35 no.2
• /
• pp.179-186
• /
• 2018

Background: To evaluate the success rate of balloon dilation and the factors possibly influencing the outcomes of balloon dilation for the ureteric strictured portion of ureteroureterostomy (UUS) site in patients with post-gynecologic surgeries. Methods: A single institution data base was screened for the patients who received balloon dilation for a treatment of ureteral stricture diagnosed after gynecologic surgery. Overall 114 patients underwent primary intra-operative UUS due to ureteral injury during gynecologic surgery. Among them, 102 patients received balloon dilation, and their medical records were retrospectively reviewed. Success of balloon dilation was defined as the condition that requires no further clinical interventions after 6 months from balloon dilation. Results: The ureter injury rate of women treated with open radical abdominal hysterectomy was highest (32 cases, 31.4%). 60 patients (60.8%) showed successful outcomes regarding dilation. All patients underwent technically successful dilation with a full expansion of balloon during the procedure, but 40 patients (39.2%) were clinically unsuccessful as they showed a recurrence of ureteral stricture on the previous balloon dilation site after the first dilation procedure. Univariate logistic regression analyses showed that stricture length >2 cm was a significant predictor of successful dilation (odds ratio, 0.751; 95% confidence interval, 0.634-0.901; p-value, 0.030), but it failed to achieve independent predictor status in multivariate analysis. Conclusion: Balloon dilation can an effective alternative treatment option for strictured portion of the primary UUS in post-gynecologic surgery patients when its length is <2 cm.