• Title/Summary/Keyword: Generalized Working Relation

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Traffic Information Processing & Decision Making using Data Mining Technique (데이터 마이닝을 이용한 교통 정보 분석 알고리즘 개발)

  • 강성규;정희석;이종수;김병성
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.10a
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    • pp.377-380
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    • 2004
  • 본 논문에서는 기존의 교통 상황 검지 장비들이 가지고 있는 문제점들을 해결하기 위해 실제 통행속도 데이터의 해당 도로 속성들을 이용하여 데이터 마이닝을 통한 합리적인 오차범위 내에서의 실시간 교통 정보 예측 알고리즘을 제안한다. 본 논문에서 제안하는 알고리즘은 데이터 파이닝의 분석 기법중 하나인 신경망(Neural Network)분석을 통하여 통행 속도 예측 근사 모델을 개발하는 것이며, 기존의 교통 상황 판단 알고리즘과의 결과 비교를 통해 비용 절감 효과와 속도 정보가 없는 도로까지의 합리적인 통행 속도 예측, 그리고 Off line상에서의 시간대별 교통 정보 제공이 가능함을 보인다.

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A Study of Nurses' Knowledge, Attitude on the Nurses' Law and Nurses' Perception on the Causes, Coping Patterns with the Nursing Accidents (간호사의 간호관련법에 대한 지식$\cdot$태도 및 간호사고에 대한 원인$\cdot$대처양상에 관한 연구)

  • Mun Heui Ja;Lee Mi Aie
    • Journal of Korean Public Health Nursing
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    • v.13 no.1
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    • pp.41-62
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    • 1999
  • Recently the request of the patients to participate in the medical courses has been expanding due to elevated sense of right on the people's health. merchandised medical treatment by mass supply, human right declaration of the patients, generalized medical informations by the mass media and the change of human relation between the medical personnels and the patients. Under these phenomena the accident by the nurses have been increasing by the area of the nurses having been expanded and their independent roles having been increased. Such nursing accidents are the important subject which the professional occupation of the nurses has been facing but legal protective capability of the nurses has been very weak. Therefore this study has examined the degree of the experience of the nursing accident that happens in the clinical nursing scenes in the general hospital to provide the basic materials for the protection and the counter measures of the nursing accidents. The following is the conclusion based by the above examination. 1) The general characters of the subjects of this study is that they are mostly single in their twenties and graduate from nursing college. Their total clinical career is above 5 years$(44.8\%)$ and their current clinical parts' career is between 1-3 years$(40.1\%)$. So these facts suggest that most hospitals has taken the working rotation policy on nurses. 2) The level of nurses' knowledge on the nursing law is accurate partially but isn't it patially. So it is suggested that nurses need the accurate information and education about the nursing law. But the nurses' attitude is very approved of the establishment of a unilateral nursing law. 3) The relation between the demographic characters of the subjects and their attitudes on the nursing law shows that there is no significant differences except the relation between the attitude 6(the sufficient level of education on nursing law in formal education course) and age. total clinical career. 4) The perception of the nurses shows that the cause of the nursing accident has been due to the heavy work$(78.2\%)$. short of professional knowledge and skill$(60.2\%)$, discordance with Doctors. patients and patients' families. They report the accident to the head nurse first$(81.8\%)$ and within 30 minute$(75.1\%)$. The hour of nursing accident frequently happened is regardless of service hour with $49.4\%$ in response rate. the highest rate. and the nursing accident happens in the night more than the daytime. Even though most nurses think that they are themselves responsible for nursing accident. it is found that the chief cause of the nursing accident is due to the nurses' heavy work$(78.2\%)$. So the causes of nursing accidents is analysed. it may be suggested that the endeavor of hospital and nursing organizations to decrease nursing accidents is very important. 5) The coping patterns of patients with nursing accidents are mostly active attitude such as a violent words$(69\%)$. sue or accusation$(36.4\%)$, monetary compensation $(35.6\%)$ except a understanding cases$(38.7\%)$. But the coping patterns of hospitals with nursing accidents are mostly to investigate the accurate cause.

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Predictors of Blood and Body Fluid Exposure and Mediating Effects of Infection Prevention Behavior in Shift-Working Nurses: Application of Analysis Method for Zero-Inflated Count Data (교대근무 간호사의 혈액과 체액 노출 사고 예측 요인과 감염예방행위의 매개효과: 영과잉 가산 자료 분석방법을 적용하여)

  • Ryu, Jae Geum;Choi-Kwon, Smi
    • Journal of Korean Academy of Nursing
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    • v.50 no.5
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    • pp.658-670
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    • 2020
  • Purpose: This study aimed to identify the predictors of blood and body fluid exposure (BBFE) in multifaceted individual (sleep disturbance and fatigue), occupational (occupational stress), and organizational (hospital safety climate) factors, as well as infection prevention behavior. We also aimed to test the mediating effect of infection prevention behavior in relation to multifaceted factors and the frequency of BBFE. Methods: This study was based on a secondary data analysis, using data of 246 nurses from the Shift Work Nurses' Health and Turnover study. Based on the characteristics of zero-inflated and over-dispersed count data of frequencies of BBFE, the data were analyzed to calculate zero-inflated negative binomial regression within a generalized linear model and to test the mediating effect using SPSS 25.0, Stata 14.1, and PROCESS macro. Results: We found that the frequency of BBFE increased in subjects with disturbed sleep (IRR = 1.87, p = .049), and the probability of non-BBFE increased in subjects showing higher infection prevention behavior (IRR = 15.05, p = .006) and a hospital safety climate (IRR = 28.46, p = .018). We also found that infection prevention behavior had mediating effects on the occupational stress-BBFE and hospital safety climate-BBFE relationships. Conclusion: Sleep disturbance is an important risk factor related to frequency of BBFE, whereas preventive factors are infection prevention behavior and hospital safety climate. We suggest individual and systemic efforts to improve sleep, occupational stress, and hospital safety climate to prevent BBFE occurrence.

Analysis of Repeated Measured VAS in a Clinical Trial for Evaluating a New NSAID with GEE Method (퇴행성 관절염 환자를 대상으로 새로운 진통제 평가를 위한 임상시험자료의 GEE 분석)

  • Lim, Hoi-Jeong;Kim, Yoon-I;Jung, Young-Bok;Seong, Sang-Cheol;Ahn, Jin-Hwan;Roh, Kwon-Jae;Kim, Jung-Man;Park, Byung-Joo
    • Journal of Preventive Medicine and Public Health
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    • v.37 no.4
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    • pp.381-389
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    • 2004
  • Objective : To compare the efficacy between SKI306X and Diclofenac by using generalized estimating equations (GEE) methodology in the analysis of correlated bivariate binary outcome data in Osteoarthritis (OA) diseases. Methods : A randomized, double-blind, active comparator-controlled, non-inferiority clinical trial was conducted at 5 institutions in Korea with the random assignment of 248 patients aged 35 to 75 years old with OA of the knee and clinical evidence of OA. Patients were enrolled in this study if they had at least moderate pain in the affected knee joint and a score larger than 35mm as assessed by VAS (Visual Analog Scale). The main exposure variable was treatment (SKI 306X vs. Diclofenac) and other covariates were age, sex, BMI, baseline VAS, center, operation history (Yes/No), NSAIDS (Y/N), acupuncture (Y/N), herbal medicine (Y/N), past history of musculoskeletal disease (Y/N), and previous therapy related with OA (Y/N). The main study outcome was the change of VAS pain scores from baseline to the 2nd and 4th weeks after treatment. Pain scores were obtained as baseline, 2nd and 4th weeks after treatment. We applied GEE approach with empirical covariance matrix and independent(or exchangeable) working correlation matrix to evaluate the relation of several risk factors to the change of VAS pain scores with correlated binary bivariate outcomes. Results : While baseline VAS, age, and acupuncture variables had protective effects for reducing the OA pain, its treatment (Joins/Diclofenac) was not statistically significant through GEE methodology (ITT:aOR=1.37, 95% CI=(0.8200, 2.26), PP:aOR=1.47, 95% CI=(0.73, 2.95)). The goodness-of-fit statistic for GEE (6.55, p=0.68) was computed to assess the adequacy of the fitted final model. Conclusions : Both ANCOVA and GEE methods yielded non statistical significance in the evaluation of non-inferiority of the efficacy between SKI306X and Diclofenac. While VAS outcome for each visit was applied in GEE, only VAS outcome for the fourth visit was applied in ANCOVA. So the GEE methodology is more accurate for the analysis of correlated outcomes.