• Title/Summary/Keyword: forecast of leaving

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J48 and ADTree for forecast of leaving of hospitals

  • Halim, Faisal;Muttaqin, Rizal
    • Korean Journal of Artificial Intelligence
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    • v.4 no.1
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    • pp.11-13
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    • 2016
  • These days, medical technology has been developed rapidly to meet desire of living healthy life. Average lifespan was extended to let people see a doctor because of many reasons. This study has shown rate of leaving of hospitals to investigate the rate of not only department of surgery but also department of internal medicine. Linear model, tree, classification rule, association and algorithm of data mining were used. This study investigated by using J48 and AD tree of decision-making tree In this study, J48 and AD tree of decision-making tree of data mining were used to investigate based on result of both data. Both algorithms were found to have similar performance. Both algorithms were not equivalent to require detailed experiment. Collect more experimental data in the future to apply from various points of view. Development of medical technology gives dream, hope and pleasure. The ones who suffer from incurable diseases need developed medical technology. Environment being similar to the reality shall be made to experiment exactly to investigate data carefully and to let the ones of various ages visit hospital and to increase survival rate.

Climate Influences of Galactic Cosmic Rays (GCR): Review and Implications for Research Policy (우주기원의 고에너지 입자가 기후에 미치는 영향: 연구 현황과 정책적 시사점)

  • Kim, Jiyoung;Jang, Kun-Il
    • Atmosphere
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    • v.27 no.4
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    • pp.499-509
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    • 2017
  • Possible links among cosmic ray, cloud, and climate have scientific uncertainties. The reputed topics have been highly controversial during several decades. A link between the atmospheric ionization by galactic cosmic rays (GCR), which is modulated by solar activities, and global cloud cover was firstly proposed in 1997. Some researchers suggested that the GCR can stimulate the formation of cloud condensation nuclei (CCN) in the atmosphere, and then the higher CCN concentrations may lead to an increase of cloud cover, resulting in a cooling of the Earth's climate, and vise versa. The CLOUD (Cosmic leaving outdoor droplets) experiment was designed to study the effect of GCR on the formation of atmospheric aerosols and clouds under precisely controlled laboratory conditions. A state-of-the-art chamber experiment has greatly advanced our scientific understanding of the aerosol formation in early stage and its nucleation processes if the GCR effect is considered or not. Many studies on the climate-GCR (or space weather) connection including the CLOUD experiment have been carried out during the several decades. Although it may not be easy to clarify the physical connection, the recent scientific approaches such as the laboratory experiments or modeling studies give some implications that the research definitively contributed to reduce the scientific uncertainties of natural and anthropogenic aerosol radiative forcing as well as to better understand the formation processes of fine particulate matters as an important parameter of air quality forecast.

A Study on the Prediction of Major Prices in the Shipbuilding Industry Using Time Series Analysis Model (시계열 분석 모델을 이용한 조선 산업 주요물가의 예측에 관한 연구)

  • Ham, Juh-Hyeok
    • Journal of the Society of Naval Architects of Korea
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    • v.58 no.5
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    • pp.281-293
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    • 2021
  • Oil and steel prices, which are major pricescosts in the shipbuilding industry, were predicted. Firstly, the error of the moving average line (N=3-5) was examined, and in all three error analyses, the moving average line (N=3) was small. Secondly, in the linear prediction of data through existing theory, oil prices rise slightly, and steel prices rise sharply, but in reality, linear prediction using existing data was not satisfactory. Thirdly, we identified the limitations of linear prediction methods and confirmed that oil and steel price prediction was somewhat similar to actual moving average line prediction methods. Due to the high volatility of major price flows, large errors were inevitable in the forecast section. Through the time series analysis method at the end of this paper, we were able to achieve not bad results in all analysis items relative to artificial intelligence (Prophet). Predictive data through predictive analysis using eight predictive models are expected to serve as a good research foundation for developing unique tools or establishing evaluation systems in the future. This study compares the basic settings of artificial intelligence programs with the results of core price prediction in the shipbuilding industry through time series prediction theory, and further studies the various hyper-parameters and event effects of Prophet in the future, leaving room for improvement of predictability.

Current Situation and the Forecast of the Supply and Demand of the Nursing Workforce in Korea (우리나라 간호인력 수급 현황 및 향후 전망)

  • Kim, Boon Han;Chung, Bok Yae;Kim, Jin Kyung;Lee, Ae-Young;Hwang, Seon Young;Cho, Joon Ah;Kim, Jung A
    • Korean Journal of Adult Nursing
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    • v.25 no.6
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    • pp.701-711
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    • 2013
  • Purpose: The plan proposed by the Ministry of Health and Welfare in 2012 did not reflect the position of nurses and focused only on how to increase the number of nurses. There is a need for coming up with a specific and viable alternative plan considering the qualitative aspect of nursing, delegation of nursing tasks, the in-death analysis of the reasons for leaving the nursing profession, and the legal standards based on varying nursing tasks. Methods: Drawing on a review of existing literature, this report was written to examine policy directions and the factors that influence the institutional environment that regulates the supply and demand of the nursing workforce in Korea. Results: Implementing the government's plan for introducing a new type of nurse, the registered practical nurse, which generally requires a two-year associate's degree, must be reconsidered. Also, a concrete plan to make use of unemployed nurses and to close the salary gap between nurses working at hospitals in cities and those working at hospitals in rural areas must be prepared. Furthermore, there is a need for introducing a new rating system aimed at boosting the quality of nursing care in small-and medium-sized hospitals, thereby increasing the number of nursing professionals who provide high quality care. Conclusion: In preparation for expected poor quality of care and looming unemployment crisis due to the increase in the number of nursing professionals, a practical and concrete plan for the supply and demand of the nursing workforce should be made. The Korean Nurses Association should mount a profession-wide campaign to make the government formulate a new and viable policy on the supply and demand of the nursing workforce.

The Study on Gyeokguk and Sangshin (격국과 상신에 대한 소고)

  • Hwangbo, Kwan
    • Industry Promotion Research
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    • v.7 no.3
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    • pp.115-124
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    • 2022
  • The most difficult things, when we study the future-telling science of human destiny, are in case of what one's individual's fate is bad which is shown by Saju-Palza(四柱八字), In that case, we have faced the problems on how we live ; to follow or to deny our fate under the brief of improving our lives by trying to make hard efforts, regardless of the bad Saju-Palza(四柱八字). However, we can hardly find the clear answer to those questions. 『Liao Fan 4 lessons(了凡四訓)』 shows that one's destiny can be improved by accumulating good deeds despite of the bad Saju-Palza(四柱八字). Someone says that future can be created, not be foreseen. As well, Dr. Steven Coby says that the best definite way to forecast future is in creating the future. Anyhow, the strong desire and curiosity to know one's individual's future is having been lasted until now since the Genesis. we guess these desires may be one of our basic instinct. If then, the function and role of the future-telling science will be to increase the accuracy of future prediction, whether our fate has been fixed or been able to be changeable. Therefore, this study summarizes the definition of confusing terms, focusing on Gyeokguk(格局) and Sangshin(相神), the core of Myeongrihak(命理學), which is considered to be one of the most popular future-telling science. Concering Gyeok(格), in this paper, Nae-Gyeok(內格) has been mainly considered and Oi-Gyeok(外格) or Special-Gyeok(別格) have not been addressed. Specifically, it summarized the views of the classical Myeongri(命理) books and modern scholars on Gyeokguk(格局) and Yongshin(用神). In particular, it also summarized the comparison of various concepts of Gyeokguk(格局), the advantages and disadvantages of each Nae-Gyeok(內格)'s characteristic, the determination order of Nae-Gyeok(內格) and the good case and bad case of it's Gyeok(格). In addition, it was necessary to summarize the concept of Sangshin(相神), which was talked about in 『Japyeongjinjeon』 and to briefly summarize Heeshin(喜神) with a broader concept than Sangshin(相神). The different usage of Sangshin(相神) was also analyzed, between the priority interpretation of Cheongan(天干) in Day-Column(日柱) and the interpretation based on Jijee(地支) in Month-Column(月柱). Finally, this paper was completed, leaving it later as a research task, the confusion that comes from the scholars' acceptance of the comprehensive diversity on the same term.