• Title/Summary/Keyword: Multiple-Linear-Regression

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Health Information Managers' Job Stress in an Electronic Medical Record Environment

  • Noh, Jin-Won;Choi, Hyo-Jin;Hong, Jin-Hyuk;Boo, Yoo-Kyung
    • International Journal of Contents
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    • v.13 no.2
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    • pp.35-43
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    • 2017
  • This study sought to measure the influence of HIMs' work environment changes on job stress, and to explore measures for improving job satisfaction among them. A total of 275 hospital HIMs' were surveyed using a structured questionnaire. Significant job stress impact variables were sorted out using a simple linear regression analysis. Then, through multiple linear regression analysis, multicollinearity was tested. Significant impact factors were identified from among the control variables, and job stress impact was measured. The survey revealed that in public hospitals where the EMR system has been implemented for a longer period, depression scores in HIMs' were increased. HIMs' job stress level was found to be affected by the following factors: computerization of their working environment, experience of depression, unemployment, and manpower reduction, as well as, their lifestyles, including leisure activities. The results of this study suggest that HIMs' job stress can be reduced through work environment improvement and improvement of their personal lifestyle habits.

Outlier Detection Using Dynamic Plots (동적 그림을 이용한 이상치 검색)

  • Ahn, Byung-Jin;Seo, Han-Son
    • The Korean Journal of Applied Statistics
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    • v.24 no.5
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    • pp.979-986
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    • 2011
  • A linear regression method is commonly used to analyze data because of its simplicity and applicability; however, it is well known that data may contain some outliers and influential cases that may have a harmful effect on a statistical analysis. Thus detection and examination of outliers or influential cases are important parts of data analysis. In detecting multiple outliers, masking effects usually occur and make it difficult to identify the true outliers. We propose to use dynamic plots as a method resistant to masking effect. The procedure using dynamic plots is useful to find appropriate basic sets with which a dependent outliers detection method start and detect a true outliers set. Examples are given to demonstrate the effectiveness of the suggested idea.

Unit Process Scheduling System Development and Calculation and Control Method of Planned Leadtime Using Multiple Linear Regression under Make to Order Manufacturing System in Transformer Winding Process (변압기 권선공정에서의 수주 제작품의 단위공정 일정관리 시스템 개발과 다중회귀분석을 이용한 계획 리드타임 산출 및 관리 방안)

  • Kang, Dae-Wan;Kang, Chang-Wook;Kang, Hae-Woon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.31 no.3
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    • pp.117-124
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    • 2008
  • Ultra-high voltage transformer industry has characteristic of small quantity batch production system by other order processing unlike general mass production systems. In this industry, observance of time deadline is very important in market competitive power security and company continued existence. The transformer winding is a process that rolls a coil is coated with an electric insulation material in order to generate the required voltage using the voltage fluctuation. The winding process is very important production process in the extra-high voltage transformer manufacturing industry because winding process is core process that occupy weight about half of whole process and is process that decide current ratio of transformer. This paper proposes a statistical calculation and control method of planned leadtime on the basis of real data and informations for the A company in transformer winding process. Moreover, we develop unit process scheduling system.

Body Height Effect on Brain Volumes in Youth Decreases in Old Age in Koreans

  • Koh, In-Song
    • Interdisciplinary Bio Central
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    • v.3 no.3
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    • pp.11.1-11.5
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    • 2011
  • The MRI (magnetic resonance imaging) volumetric analysis of the brain was performed in 59 healthy elderly Koreans (aged 62-76 years; 34 male, 25 female) to investigate whether the previously reported significant correlations between body height and brain volumes in the young aged Koreans (20's) still exist in the old aged Koreans (60's and 70's). Unlike previously reported significant correlations in the young aged Koreans, neither the correlation between whole brain volume and body height in male nor the correlation between cerebellar volume and body height in female show any significance in the old aged Koreans. The significant correlation between body height and whole brain volume was still observed when both male and female data were combined (r=0.27, P<0.05), but the correlation coef-ficient and the level of significance markedly decreased from those of previously reported Korean youth data (r=0.67, P<0.01). Simple linear regression analysis shows decrease of explanatory power of height (measured in $r^2$) from 44% in the youth group to 7% in the old age group on the variance of whole brain volume. Multiple linear regression analysis shows that age and sex, rather than height, are major explanatory variables for whole brain volume in the old aged Koreans. The loss of correlations in the aged group is suspected to be mainly due to age related brain volume changes.

Imitation Learning of Bimanual Manipulation Skills Considering Both Position and Force Trajectory (힘과 위치를 동시에 고려한 양팔 물체 조작 솜씨의 모방학습)

  • Kwon, Woo Young;Ha, Daegeun;Suh, Il Hong
    • The Journal of Korea Robotics Society
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    • v.8 no.1
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    • pp.20-28
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    • 2013
  • Large workspace and strong grasping force are required when a robot manipulates big and/or heavy objects. In that situation, bimanual manipulation is more useful than unimanual manipulation. However, the control of both hands to manipulate an object requires a more complex model compared to unimanual manipulation. Learning by human demonstration is a useful technique for a robot to learn a model. In this paper, we propose an imitation learning method of bimanual object manipulation by human demonstrations. For robust imitation of bimanual object manipulation, movement trajectories of two hands are encoded as a movement trajectory of the object and a force trajectory to grasp the object. The movement trajectory of the object is modeled by using the framework of dynamic movement primitives, which represent demonstrated movements with a set of goal-directed dynamic equations. The force trajectory to grasp an object is also modeled as a dynamic equation with an adjustable force term. These equations have an adjustable force term, where locally weighted regression and multiple linear regression methods are employed, to imitate complex non-linear movements of human demonstrations. In order to show the effectiveness our proposed method, a movement skill of pick-and-place in simulation environment is shown.

A Study on the Relationship between Primary Dysmenorrhea and Pulse Energy Measured by 3D Blood Pressure Pulse Analyzer (원발성 월경곤란증과 맥의 관련성 연구)

  • Lee, Ji-Yeon;Yoon, Young-Jin
    • The Journal of Korean Obstetrics and Gynecology
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    • v.28 no.4
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    • pp.31-45
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    • 2015
  • Objectives : The purpose of this study is to examine the relationship between the symptoms of primary dysmenorrhea and pulse energy of Chon, Gwan and Cheok. Methods The subjects of this study who had certain range of dysmenorrhea symptom. The degree of dysmenorrhea were assessed by Visual Analog Scale (VAS), Multidimensional Verbal Rating Scale (MVRS), Cox Menstrual Symptom Scale (CMSS) and measured by 3D Blood Pressure Pulse Analyzer(3D-MAC) tests at menstruation start date. Data analysis included descriptive statistics and multiple linear regression using the SPSS/WIN 18.0 program. Results : The induced results are as follows;The induced results are as follows 1. There were no significant relationship between the pulse energy and the sum values of VAS, MVRS and checking part of severity of CMSS. 2. The frequency domain of CMSS were significantly associated with pulse energy. 3. In linear regression models, the model of Left Chon had the especially highest value of explanatory power. (R 2 = 0.517) Conclusions : The pulse energy changes are related to the symptoms of primary dysmenorrhea.

Relationship between Health Behavior Factors and Bone Mineral Density among College Students in a Health-Related Department (일 대학 보건의료전공학생의 건강행위특성과 골밀도와의 관련성)

  • Cho, Kwang-Ho;Yim, So-Youn;Baik, Sung-Hee
    • Journal of Korean Public Health Nursing
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    • v.25 no.2
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    • pp.266-275
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    • 2011
  • Purpose: The study investigated the relationship of health behavior with bone mineral density (BMD) for college students. Methods: A descriptive study was done using a convenient sampling of college students (n=116) enrolled in a health-related department. Height, weight, body mass index (BMI), health behaviors recognition of subjective health, smoking, drinking, exercise, food habits, intake of calcium, and family history of fracture were measured. BMD was measured at the right forearm using Hologic lunar duel-energy X-ray absorptiometry. Data were analyzed using descriptive analysis, t-test, ANOVA and multiple linear regression. Results: The prevalence of osteopenia and osteoporosis was 41.4% and 22.4%, respectively. Significant relationships were observed between BMD of right forearm and gender, BMI, subjective health recognition, drinking, and exercise (p<.05). Results of linear regression after adjusted BMD were increased concerning subjective health recognition and regular exercise (p<.05). Conclusions: Subjective health recognition and exercise carries positive effects on BMD. We recommend for college students that healthy behaviors like proper weight, smoking cessation, regular exercise, regular food habits, and health awareness are helpful to BMD.

Analyzing the compressive strength of clinker mortars using approximate reasoning approaches - ANN vs MLR

  • Beycioglu, Ahmet;Emiroglu, Mehmet;Kocak, Yilmaz;Subasi, Serkan
    • Computers and Concrete
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    • v.15 no.1
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    • pp.89-101
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    • 2015
  • In this paper, Artificial Neural Networks (ANN) and Multiple Linear Regression (MLR) models were discussed to determine the compressive strength of clinker mortars cured for 1, 2, 7 and 28 days. In the experimental stage, 1288 mortar samples were produced from 322 different clinker specimens and compressive strength tests were performed on these samples. Chemical properties of the clinker samples were also determined. In the modeling stage, these experimental results were used to construct the models. In the models tricalcium silicate ($C_3S$), dicalcium silicate ($C_2S$), tricalcium aluminate ($C_3A$), tetracalcium alumina ferrite ($C_4AF$), blaine values, specific gravity and age of samples were used as inputs and the compressive strength of clinker samples was used as output. The approximate reasoning ability of the models compared using some statistical parameters. As a result, ANN has shown satisfying relation with experimental results and suggests an alternative approach to evaluate compressive strength estimation of clinker mortars using related inputs. Furthermore MLR model showed a poor ability to predict.

Childcare Teachers' Perception of their Director's Servant Leadership and the Mediating Role of the Internal-External Control Relationship on Childcare Teachers' Emotional Labor (보육교사가 지각한 원장의 서번트리더십과 보육교사의 정서노동의 관계에서 내-외통제성의 매개효과)

  • Cho, Han-Suk;Park, Bok-Mae;Moon, Hyuk-Jun
    • Journal of Families and Better Life
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    • v.29 no.6
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    • pp.27-39
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    • 2011
  • The purpose of this study was to explore mediating effects of internal-external control between directors' servant leadership and teachers' emotional labor. The subjects of the study were 425 childcare teachers in Seoul, Gyeonggi province and Incheon in Korea. The statistics program used to analyze the data was SPSS(version +18.0). The statistics methods applied were the Pearson correlation coefficient, simple linear regression, and multiple linear regression. The major results of this study were summarized as follows: First, emotional labor and internal control caused by the servant leadership style were found to be positively correlated. Second, servant leadership affected the ability of the teachers to act naturally. These effects were mediated in part by the amount of internal-external control that was shown. Third, servant leadership affected the internal behaviors of the teachers. These effects were mediated in part by amount of the internal-external control that was shown.

A Mediating Effect of Interpersonal Competence and Gratitude Disposition to the Influence of Positive Psychology Capital on Happiness in Childcare Teachers (보육교사의 긍정심리자본이 행복감에 미치는 영향: 대인관계유능성과 감사성향의 매개효과)

  • Cho, Han Suk;Lee, Sung Bok
    • Journal of Families and Better Life
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    • v.34 no.5
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    • pp.69-82
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    • 2016
  • The purpose of this study was to explore mediating effects of interpersonal competence, gratitude disposition between childcare teachers positive psychological capital and happiness. The subjects of the study were a total 231 Childcare in Seoul. The statistics program used to achieve the purpose was SPSS/PC+18.0. The statistics methods applied were pearson correlation coefficient, simple linear regression, and multiple linear regression. The major results of this study were summarized as follows: First, Positive psychological capital and interpersonal competence, and gratitude disposition from happiness was found to be positively correlated. Second, interpersonal competence had an affect on childcare teachers happiness. These effects are mediated in part by the control interpersonal competence showed. Third, gratitude disposition affects childcare teachers happiness. These effects are mediated in part by the gratitude disposition showed. These results suggest that dispositional gratitude and cognitive flexibility play an important role in the development of happiness for childcare teachers.