• 제목/요약/키워드: Long term data

검색결과 5,354건 처리시간 0.036초

Application of the Weibull-Poisson long-term survival model

  • Vigas, Valdemiro Piedade;Mazucheli, Josmar;Louzada, Francisco
    • Communications for Statistical Applications and Methods
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    • 제24권4호
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    • pp.325-337
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    • 2017
  • In this paper, we proposed a new long-term lifetime distribution with four parameters inserted in a risk competitive scenario with decreasing, increasing and unimodal hazard rate functions, namely the Weibull-Poisson long-term distribution. This new distribution arises from a scenario of competitive latent risk, in which the lifetime associated to the particular risk is not observable, and where only the minimum lifetime value among all risks is noticed in a long-term context. However, it can also be used in any other situation as long as it fits the data well. The Weibull-Poisson long-term distribution is presented as a particular case for the new exponential-Poisson long-term distribution and Weibull long-term distribution. The properties of the proposed distribution were discussed, including its probability density, survival and hazard functions and explicit algebraic formulas for its order statistics. Assuming censored data, we considered the maximum likelihood approach for parameter estimation. For different parameter settings, sample sizes, and censoring percentages various simulation studies were performed to study the mean square error of the maximum likelihood estimative, and compare the performance of the model proposed with the particular cases. The selection criteria Akaike information criterion, Bayesian information criterion, and likelihood ratio test were used for the model selection. The relevance of the approach was illustrated on two real datasets of where the new model was compared with its particular cases observing its potential and competitiveness.

Ownership of Long-Term Care Facility and Incidence of Pressure Ulcers among Republic of Korea

  • Chun, Sung-Youn;Park, Hyeki;Kim, Woorim;Joo, Yeong-Jun;Lee, Tae-Hoon;Park, Eun-Cheol
    • 보건행정학회지
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    • 제30권4호
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    • pp.522-530
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    • 2020
  • Background: In 2008, Korea implemented a new type of social insurance known as "long-term care insurance". We examined the association between ownership of long-term care facilities and the incidence of pressure ulcers after the implementation of "long-term care insurance". This study is a population-based retrospective cohort study from 2006 to 2013. Methods: We used medical claims data from the Korean National Health Insurance Corporate Elderly Cohort Database from 2006 to 2013. These data comprise a nationally representative sample. To avoid confounders, only patients admitted to one long-term care facility and who stayed for >70% of the follow-up time were included; as a result, 3,107 individuals were enrolled. The main independent variable was the operating entity of the long-term care facility (local government, corporate bodies, and private for-profit owners), and the dependent variable was the 1-year incidence of pressure-ulcers. Survival analysis (Cox proportional hazard model) was used as an analysis method. Results: Compared to patients admitted to local government long-term care facilities, patients admitted to private long-term care facilities had a significantly higher 1-year risk of pressure ulcers (hazard ratio [HR], 1.94; 95% confidence interval [CI], 1.29-2.91); the risk was especially high among patients who were cognitively dependent (HR, 2.34; 95% CI, 1.25-4.37). Conclusion: Patients admitted to private for-profit long-term care facilities were more likely to have pressure ulcers compared to those in local government and corporate body long-term care facilities. Appropriate assessment tools and publicly available information, as well as more restricted legal requirements, are needed to improve the care quality and outcomes of patients in long-term care facilities.

데이터 통합 모델 기반 e-Transformation 전략 : 장기요양기관 사례 (e-Transformation Strategy of Data Integration Model : Long-Term Care Agency Case)

  • 엄혜미
    • Journal of Information Technology Applications and Management
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    • 제28권3호
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    • pp.23-30
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    • 2021
  • Korea currently provides long-term care benefits for the elderly with poor functionality, but most of the service providers are private businesses. This is the time when quality management of care services is required, which is just around the corner of the super-aged era. In this study, we would like to look at the case in which 'A company', which operates a long-term care institution, attempted to make voluntary changes ahead of social demands. The company tried to transform the social needs of quality management by judging them as opportunities, not threats, and establishing an integrated database of centers. First, the company processed data and built a cloud-based database system. Second, the company automatically linked data from existing systems for the efficiency of data utilization. Third, the company pursued visualization for the convenience of data utilization. This allowed the company to make data-driven strategic decisions internally. This is expected to increase sales as it will soon lead to securing new customers and pioneering new markets. It is also significant in that it can provide best practices for the long-term care industry.

종합병원과 요양병원에 입원한 암 환자의 신체적 증상과 희망 및 가족지지 비교 연구 (Physical symptoms, Hope and Family Support of Cancer Patients in the General Hospitals and Long-term Care Hospitals)

  • 채선영;김계하
    • 성인간호학회지
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    • 제25권3호
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    • pp.298-311
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    • 2013
  • Purpose: The purpose of this study was to compare reported physical symptoms, hope and family support of cancer patients between general hospitals and long-term care hospitals. Methods: Subjects were 175 patients diagnosed with cancers from two general hospitals and six long-term care hospitals located in G city. Subjects completed a questionnaire with questions about general characteristics and questions about the disease, physical symptoms, hope and family support. Data was collected from February to April and the data were analyzed using an independent t-test and one-way ANOVA. Results: The subjects in long-term care hospitals showed higher percentage in pain, nausea, fatigue, sleep disorder, and change in appearance. There was a significant difference in family support between two groups. A significant positive correlation was found between hope and family support in subjects in general and long-term care hospitals. Conclusion: Significant differences were found in some physical symptoms and family support between cancer patients in general hospitals and long-term care hospitals. Thus, nurses in long-term care hospitals need provide care suitable for the characteristics of cancer patients in long-term care hospitals.

Long-Term Wind Resource Mapping of Korean West-South Offshore for the 2.5 GW Offshore Wind Power Project

  • Kim, Hyun-Goo;Jang, Moon-Seok;Ko, Suk-Hwan
    • 한국환경과학회지
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    • 제22권10호
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    • pp.1305-1316
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    • 2013
  • A long-term wind resource map was made to provide the key design data for the 2.5 GW Korean West-South Offshore Wind Project, and its reliability was validated. A one-way dynamic downscaling of the MERRA reanalysis meteorological data of the Yeongwang-Gochang offshore was carried out using WindSim, a Computational Fluid Dynamics based wind resource mapping software, to establish a 33-year time series wind resource map of 100 m x 100 m spatial resolution and 1-hour interval temporal resolution from 1979 to 2012. The simulated wind resource map was validated by comparison with wind measurement data from the HeMOSU offshore meteorological tower, the Wangdeungdo Island meteorological tower, and the Gochang transmission tower on the nearby coastline, and the uncertainty due to long-term variability was analyzed. The long-term variability of the wind power was investigated in inter-annual, monthly, and daily units while the short-term variability was examined as the pattern of the coefficient of variation in hourly units. The results showed that the inter-annual variability had a maximum wind index variance of 22.3% while the short-term variability, i.e., the annual standard deviation of the hourly average wind power, was $0.041{\pm}0.001$, indicating steady variability.

Application of Neural Network for Long-Term Correction of Wind Data

  • ;김현구
    • 신재생에너지
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    • 제4권4호
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    • pp.23-29
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    • 2008
  • Wind farm development project contains high business risks because that a wind farm, which is to be operating for 20 years, has to be designed and assessed only relying on a year or little more in-situ wind data. Accordingly, long-term correction of short-term measurement data is one of most important process in wind resource assessment for project feasibility investigation. This paper shows comparison of general Measure-Correlate-Prediction models and neural network, and presents new method using neural network for increasing prediction accuracy by accommodating multiple reference data. The proposed method would be interim step to complete long-term correction methodology for Korea, complicated Monsoon country where seasonal and diurnal variation of local meteorology is very wide.

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CNN-LSTM Coupled Model for Prediction of Waterworks Operation Data

  • Cao, Kerang;Kim, Hangyung;Hwang, Chulhyun;Jung, Hoekyung
    • Journal of Information Processing Systems
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    • 제14권6호
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    • pp.1508-1520
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    • 2018
  • In this paper, we propose an improved model to provide users with a better long-term prediction of waterworks operation data. The existing prediction models have been studied in various types of models such as multiple linear regression model while considering time, days and seasonal characteristics. But the existing model shows the rate of prediction for demand fluctuation and long-term prediction is insufficient. Particularly in the deep running model, the long-short-term memory (LSTM) model has been applied to predict data of water purification plant because its time series prediction is highly reliable. However, it is necessary to reflect the correlation among various related factors, and a supplementary model is needed to improve the long-term predictability. In this paper, convolutional neural network (CNN) model is introduced to select various input variables that have a necessary correlation and to improve long term prediction rate, thus increasing the prediction rate through the LSTM predictive value and the combined structure. In addition, a multiple linear regression model is applied to compile the predicted data of CNN and LSTM, which then confirms the data as the final predicted outcome.

요양병원형수가제 전환에 대한 요양병원의 평가 및 개선방안 연구 (A Study on Evaluation and Improvement of Long-term Care Hospitals for Changing Long-term Care Hospital Fee System)

  • 김영배
    • 보건의료산업학회지
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    • 제5권2호
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    • pp.105-117
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    • 2011
  • The purpose of this study is to investigate evaluation and improvement of long-term care hospitals for changing long-term care hospitals fee system. Data were collected from 104 CEOs in nationwide long-term care hospitals using structured self-administered questionnaires during August 17 to 31, 2009. Major results of the empirical analysis are as follows; first, to change fixed sum medical fee per day caused to decline the level of geriatric service in 87% of CEOs. Second, 79% of CEOs were dissatisfied with changing fixed sum medical fee per day, and 47% of them were dissatisfied with graded fee for doctor and nurse management. Finally, they suggested that to specialize and to differentiate of long-term care hospitals will drive to improve long-term care hospitals function and to measure workforce based on rate of filled vacancies will increase efficiency and productivity of doctor and nurse management.

노인장기요양보험 이용현황과 제도확대방향의 모색 (Observations on Long-Term Care Insurance Utilization and Implication for its Expansion)

  • 윤희숙
    • 보건행정학회지
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    • 제20권3호
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    • pp.104-122
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    • 2010
  • Long-term care insurance has been introduced in Korea a year ago, and we are in a stage requiring to set principles regarding the generosity of coverage and how to gradually extend the coverage. This study empirically analyzes how the long-term care insurance in Korea is operated. Special attention is given to who is the main beneficiary of the long-term care insurance introduction, and what is the factors influencing the elderly's decision to apply for or use long-term care services. Use of a detailed information of individuals' public health insurance and long-term care insurance from administration data made it possible to control for health status, socioeconomic status including family type, housing tenure, income level. Logit models were employed to analyze the effects of various socioeconomic factors on the likelihood of applying and using long-term care services. Also, this study employed a survey questioning whether to ever willing to take other option as a alternative to residential care or home-care and the level of cash benefit for which they are willing to replace the formal care with informal care. The result indicated that although the poorest elderly population groups are in the greatest need for the long-term care service, they are in difficulty using the service due to economic burden. This implies the copayment amount needs to be adjusted in order for the poor elderly group to be able to get the benefit of the long-term care service.

기록속도에 따른 BD-R의 데이터 장기보존 안정성 평가 (Long-Term Data Stability Evaluation of BD-R according to Recording Speed for Archival Application)

  • 이관용;박선주;조이형;김영주
    • 정보저장시스템학회논문집
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    • 제8권2호
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    • pp.50-55
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    • 2012
  • Optical disks are widely used in libraries and archives as digital data media due to their long-term storage stability. Though archive-grade optical disks are already available on the market, there is a relative less focusing on the reliable recording conditions. Commercial BD-R media were recorded at various recording speeds with the maximum speed of 6X, and tested at the acceleration aging conditions. Through the evaluation of long-term storage features by the data stability test, lower recording speed of 2x resulted in better long-term storage stability. In addition, degradation aspects of unstable long-term storage feature at outer region of disk were discussed.