• Title/Summary/Keyword: data-based model

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Prediction of Life-expectancy for Patients with Hepatocellular Carcinoma Based on Prognostic Factors (간암 환자에서 예후인자를 통한 생존기간의 예측)

  • Yeom, Chang-Hwan;Shim, Jae-Yong;Lee, Hye-Ree;Hong, Young-Sun
    • Journal of Hospice and Palliative Care
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    • v.1 no.1
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    • pp.30-38
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    • 1998
  • Background : Hepatocellular carcinomoma is the 3rd most common malignancy and the 2nd most common cause of death in Korea. The prediction of life-expectancy in terminal cancer patients is a major problem for patients, families, and physicians. We would like to investigate the prognostic factors of hepatocellular carcinoma, and therefore contribute to the prediction of the survival time of patients with hepatocellular carcinoma. Methods : A total of 91 patients(male 73, female 18) with hepatocellular carcinoma who were admitted to the hospital between January and lune 1995 were entered into the study, and data were collected prospectively on 28 clinical parameters through medical obligation record. We surveyed an obligation and local district office records, and confirmed the surivival of patients till July, 1996. Using Cox-proportional hazard model, give the significant variables related to survival. These determined prognostic factors. Life regressional analysis was used, there were calculated predicted survival day based on combinations of the significant prognostic factors. Results : 1) Out of 91 patients, 73 were male, and 18 were female. The mean age was $56.7{\pm}10.6$ ears. During the study, except for 16 patients who could not follow up, out of 75 patients, the number of deaths was 57(76%) and the number of survivals was 18(24%). 2) Out of the 28 clinical parameters, the prognostic factors related to reduced survival rate were prothrombin time<40%(relative risk:10.8), weight loss(RR:4.4), past history of hypertension (RR:3.2), ascites(RR:2.8), hypocalcemia(RR:2.5)(P<0.001). 3) Out of five factors, the survival day is 1.7 in all of five, $4.2{\sim}10.0$ in four, $10.4{\sim}41.9$ in three, $29.5{\sim}118.1$ in two, $124.0{\sim}296.6$ in one, 724.0 in none. Conclusion : In hepatocellular carcinoma we found that the prognostic factors related to reduce survival rate were prolonged prothrombin time(<40%), weight loss, past history of hypertension, ascites, and hypocalcemia(<8.7mg/dl). The five prognostic factors enabled the prediction of life-expectancy in patients with hepatocellular carcinoma and may assist in managing patients with hepatocellular carcinomal.

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Home Economics teachers' stages of concern and levels of use about the Practical Reasoning Instruction (실천적 추론 수업에 대한 가정과 교사의 관심 단계와 실행 수준)

  • Park, Mi-Ok;Chae, Jung-Hyun
    • Journal of Korean Home Economics Education Association
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    • v.24 no.4
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    • pp.133-144
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    • 2012
  • The purpose of this study was to investigate Home Economics(HE) teachers' stages of concern, levels of use, and needs about the practical reasoning instruction focusing on the Concerns Based Adoption Model(CBAM). Questionnaires were administrated to HE teachers who worked for middle or high school in Korea and used HE textbooks according to the revised 2007 HE curriculum through mailing and visiting HE teacher training centers. 350 data collected from the responses were finally analyzed using SPSS 12.0. The results of the study were as follows: First, HE teachers' stages of concern about the Practical Reasoning Instruction(PRI) were demonstrated by the following order: awareness stage 0(97.05%), informational stage 1(87.06%), personal stage 2(86.23%), management stage 3(79.85%), refocusing stage 6(63.22%), consequence stage 4(61.26%), and collaboration stage 5(60.12%). Second, HE teachers' levels of use for PRI were demonstrated by the following order: preparation level 2(30.3%), orientation level 1(18.30%), refinement level 5 (18.30%), mechanical level 3: (16.0%), routine level 4(10.09%), nonuse level 0(4.0%), integration level 6(1.70%), and renewal level 7(0.60%). Third, needs for HE teachers' practical reasoning process were shown as the following order: '(O)Outline and implement a plan for action'(1.89), '(A)Analyze choices and consequences'(1.75), '(N)Note the results of your action(s)'(1.57), '(E)Evaluate information needed to solve the problem'(1.44), '(R)Recognize the problem'(1.39), and '(S)Select the best choices'(1.36).

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The Effect of Oral Health Behavior by Oral Health Belief of Student in Dental Hygiene Department of College Students in Seoul (서울지역 일부대학 치위생과 학생의 구강건강신념이 구강보건행태에 미치는 영향)

  • Park, Mi-Sook
    • Journal of dental hygiene science
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    • v.11 no.2
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    • pp.107-119
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    • 2011
  • The purpose of this study was to examine the effects of oral health behavior by oral health belief from the students in the dental hygienics department who take charge of oral health office, and therefore to lead a clear oral health care, to complete desirable oral health belief, and finally to utilize them for oral health field. The survey was conducted using structured self-administered questionnaires based on oral health belief model targeting 163 students in the dental hygienics department of one of the college in Seoul, and collected data were statistically analyzed using the SPSS 18.0 program. As a result of analysis to determine that the oral health belief significantly affects on the oral heal behavior, the personal variables such as age, economic status and occupation, and the seriousness for the oral health belief were indicated to be significant variables(p<0.05), and as a result of analysis that effects on the number of the oral health behavior, the susceptibility and the seriousness were indicated to be significant variables for oral health belief(P<0.05). As a conclusion, oral health belief was identified as a factor of salience through understanding that oral health belief of the students in the dental hygienics department effects on oral health behavior based on an oral health belief model, and it can be concluded that the necessity of oral health belief investigation should be discussed as a crucial issue to provide a more effective oral health promotion plan.

Analyses on the Mean Length of Stay of and the Income Effects due to Early Discharge of Car Accident Patients at General Hospital (3차 병원에 입원한 교통사고환자의 평균 재원기간과 조기퇴원시의 수입증대효과 분석연구)

  • Ryu, Ho-Sihn
    • Research in Community and Public Health Nursing
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    • v.10 no.1
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    • pp.70-79
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    • 1999
  • This study attempts to encourage the development of a rehabilitation delivery system as a substitute service for hospitalization such as a community based intermediate facility or home health care. We need substitute services for hospitalization to curtail the length of stay for inpatients due to car accidents. It focused on developing an estimation for early discharge based on a detailed statement of treatment from medical records of 109 inpatients who were hospitalized at General Hospital in 1997. This study has three specific purposes: First, to find the mean length of stay and mean medical expenditure. Second, to estimate the mean of early discharge from the mean length of stay. Third, to analyize the income effect per bed from early discharge. In order to analyze the length of stay and medical expenditure of inpatients the author conducted a micro and macro-analysis with medical expenditure records. To estimate the early discharge we examined with a group of 4 experts decreases in the amount of treatment after surgery, in treatments, in tests, in drug methods. We also looked their vital signs, the start of ROM exercise, the time removel, a patient's visitations, and possible stable conditions. In addition to identifing the income effect due to an early discharge, the data was analyzed by an SPSS-PC for windows and Excell program with a regression analysis model. The research findings are as follows: First, the mean length of stay was 47.56 days, but the mean length of stay due to early discharge was 32.26 days. The estimation of early discharge days was shown to depend on the length of stay. The longer the length of stay, the longer the length before discharge. For example, if the patient stayed under 14 days the mean length of stay was 7.09 while an early discharge was 6.39, whereas if the mean length of stay was 155.73, the early discharge time was 107.43. The mean medical expenditure per day of car accident patients was found to be 169,085 Won, whereas the mean medical expenditure per day was shown to be in a negative linear form according to the length of stay. That is the mean expenditure for under 14 days of stay was 303,015 Won and the period of the hospitalization of 15 days to 29 days was 170,338 Won and those of 30 days to 59 days was 113,333 Won. The estimation of the income effect due to being discharged 16 days was around 2,350,000 Won with a regression analysis model. However, this does not show the real benefits from an early discharge, but only the income increasing amount without considering prime medical cost at a general hospital. Therefore, we need further analysis on cost containments and benefits incending turn over rates and medical prime costs. From these research findings, the following suggestions have been drawn, we need to develop strategies on a rehabilitation delivery system focused on consumers for the 21st century. Varions intermediate facilities and home health care should be developed in the community as a substitute for shortening the length of stay in hospitals. In home health care cases, patients who want rehabilitation services as a substitute for hospitalization in cooperation with private health insurance companies might be available immediately.

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The Brassica rapa Tissue-specific EST Database (배추의 조직 특이적 발현유전자 데이터베이스)

  • Yu, Hee-Ju;Park, Sin-Gi;Oh, Mi-Jin;Hwang, Hyun-Ju;Kim, Nam-Shin;Chung, Hee;Sohn, Seong-Han;Park, Beom-Seok;Mun, Jeong-Hwan
    • Horticultural Science & Technology
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    • v.29 no.6
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    • pp.633-640
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    • 2011
  • Brassica rapa is an A genome model species for Brassica crop genetics, genomics, and breeding. With the completion of sequencing the B. rapa genome, functional analysis of the genome is forthcoming issue. The expressed sequence tags are fundamental resources supporting annotation and functional analysis of the genome including identification of tissue-specific genes and promoters. As of July 2011, 147,217 ESTs from 39 cDNA libraries of B. rapa are reported in the public database. However, little information can be retrieved from the sequences due to lack of organized databases. To leverage the sequence information and to maximize the use of publicly-available EST collections, the Brassica rapa tissue-specific EST database (BrTED) is developed. BrTED includes sequence information of 23,962 unigenes assembled by StackPack program. The unigene set is used as a query unit for various analyses such as BLAST against TAIR gene model, functional annotation using MIPS and UniProt, gene ontology analysis, and prediction of tissue-specific unigene sets based on statistics test. The database is composed of two main units, EST sequence processing and information retrieving unit and tissue-specific expression profile analysis unit. Information and data in both units are tightly inter-connected to each other using a web based browsing system. RT-PCR evaluation of 29 selected unigene sets successfully amplified amplicons from the target tissues of B. rapa. BrTED provided here allows the user to identify and analyze the expression of genes of interest and aid efforts to interpret the B. rapa genome through functional genomics. In addition, it can be used as a public resource in providing reference information to study the genus Brassica and other closely related crop crucifer plants.

Dst Prediction Based on Solar Wind Parameters (태양풍 매개변수를 이용한 Dst 예측)

  • Park, Yoon-Kyung;Ahn, Byung-Ho
    • Journal of Astronomy and Space Sciences
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    • v.26 no.4
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    • pp.425-438
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    • 2009
  • We reevaluate the Burton equation (Burton et al. 1975) of predicting Dst index using high quality hourly solar wind data supplied by the ACE satellite for the period from 1998 to 2006. Sixty magnetic storms with monotonously decreasing main phase are selected. In order to determine the injection term (Q) and the decay time ($\tau$) of the equation, we examine the relationships between $Dst^*$ and $VS_s$, ${\Delta}Dst^*$ and $VS_s$, and ${\Delta}Dst^*$ and $Dst^*$ during the magnetic storms. For this analysis, we take into account one hour of the propagation time from the ACE satellite to the magnetopause, and a half hour of the response time of the magnetosphere/ring current to he solar wind forcing. The injection term is found to be $Q(nT/h)\;=\;-3.56VS_s$ for $VS_s$ > 0.5mV/m and Q(nT=h) = 0 for $VB_s\;{\leq}\;0.5mV/m$. The $\tau$ (hour) is estimated as $0.060Dst^*\;+\;16.65$ for $Dst^*$ > -175nT and 6.15 hours for $Dst^*\;{\leq}\;-175nT$. Based on these empirical relationships, we predict the 60 magnetic storms and find that the correlation coefficient between the observed and predicted $Dst^*$ is 0.88. To evaluate the performance of our prediction scheme, the 60 magnetic storms are predicted again using the models by Burton et al. (1975) and O'Brien & McPherron (2000a). The correlation coefficients thus obtained are 0.85, the same value for both of the two models. In this respect, our model is slightly improved over the other two models as far as the correlation coefficients is concerned. Particularly our model does a better job than the other two models in predicting intense magnetic storms ($Dst^*\;{< \atop \sim}\;-200nT$).

Improving Bidirectional LSTM-CRF model Of Sequence Tagging by using Ontology knowledge based feature (온톨로지 지식 기반 특성치를 활용한 Bidirectional LSTM-CRF 모델의 시퀀스 태깅 성능 향상에 관한 연구)

  • Jin, Seunghee;Jang, Heewon;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.253-266
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    • 2018
  • This paper proposes a methodology applying sequence tagging methodology to improve the performance of NER(Named Entity Recognition) used in QA system. In order to retrieve the correct answers stored in the database, it is necessary to switch the user's query into a language of the database such as SQL(Structured Query Language). Then, the computer can recognize the language of the user. This is the process of identifying the class or data name contained in the database. The method of retrieving the words contained in the query in the existing database and recognizing the object does not identify the homophone and the word phrases because it does not consider the context of the user's query. If there are multiple search results, all of them are returned as a result, so there can be many interpretations on the query and the time complexity for the calculation becomes large. To overcome these, this study aims to solve this problem by reflecting the contextual meaning of the query using Bidirectional LSTM-CRF. Also we tried to solve the disadvantages of the neural network model which can't identify the untrained words by using ontology knowledge based feature. Experiments were conducted on the ontology knowledge base of music domain and the performance was evaluated. In order to accurately evaluate the performance of the L-Bidirectional LSTM-CRF proposed in this study, we experimented with converting the words included in the learned query into untrained words in order to test whether the words were included in the database but correctly identified the untrained words. As a result, it was possible to recognize objects considering the context and can recognize the untrained words without re-training the L-Bidirectional LSTM-CRF mode, and it is confirmed that the performance of the object recognition as a whole is improved.

Factors Affecting Intention to Experience of 6th Industry (6차 산업 체험 의향에 영향을 미치는 요인에 관한 연구)

  • Choi, Yang-ae
    • Journal of Venture Innovation
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    • v.3 no.1
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    • pp.117-142
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    • 2020
  • The purpose of this study is to explore the factors affecting the 6th industry experience by Schmitt experience model. The newly introduced variables are the cognitive experience, emotional experience, and social experience that are reconstructed based on Schmitt's experience theory and gender, family as a moderrating variable and trust as a mediation variable. In addition to experience intention. The hypothesis was set as follows. the experience factors that are the cognitive factor, the emotional factor, and the social factor will have a positive(+) influence on the intention to experience. Mooring factors will have a negative(-) effect on intention to experience. For statistical analysis, SPSS 24 and AMOS 23 statistical packages were used to test the research hypothesis. The research was based on 320 questionnaire data and tested by 314 valid responses were analyzed. As a result of the research, First, cognitive, emotional, and social factors had positive(+) effects on experience intention. Among the factors that directly affect the experience intention, the magnitude of influence appeared in the order of cognitive factors > social factors > emotional factors > mooring factors. Second, mooring factors have negative(-) effects on experience intention. Third, Trust has been partially influenced by factors of attraction, cognitive, emotional, and social. Fourth, there are significant statistical differences between men and women in cognitive and mooring factors in the path differences. Fifth, Social factors and mooring factors differed significantly in the composition of the household. Social factors with significant differences in path analysis have also been statistically demonstrated. The results of this study are academically verified that the cognitive, emotional, and social factors have an important influence on the experience intention in the 6th industry experience and the Schmitt's experience model proposed in this study is useful framework of analysis. In practical terms, it could provide implications for what factors should be strategically and marketingly focused to activate the 6th industry experience.

Fear of Falling and Related Factors in Elderly Living Alone Based on Fall Experience (독거여성노인의 낙상경험에 따른 낙상두려움과 관련요인)

  • Lee, Myungsuk;Lee, Yunbok
    • Journal of agricultural medicine and community health
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    • v.38 no.4
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    • pp.243-256
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    • 2013
  • Objectives: This study was to investigate fear of falling and related factors in elderly living alone based on fall experience. Methods: Participants were 404 elderly women(faller=148, non-faller=256) over 65 years who were homebound living alone in Jeollanam-do Province. Face-to-face interviews were conducted using questionnaires from April $23^{th}$ to June $9^{th}$ 2013. The questionnaires consisted of demographic variables, fall experience, Fear of falling questionnaire(FOFQ), Falls Efficacy Scale(FES) and Center for Epidemiologic Studies Depression(CES-D). The collected data were analyzed using the SPSS version 14.0. Results: The fear of falling and the influential factors were different according to fall experience. Regression model for fear of falling in fallers significantly accounted for 46.1%(F=6.71, p<0.001); difficulty of performing activity, depression, fall-efficacy, static balance and assistive devices. Regression model for fear of falling in non-fallers significantly accounted for 55.2%(F=15.16, p<0.001); fall-efficacy, environmental hazards, difficulty of performing activity, risk of nutrition, housing type, dizziness and assistive devices. Conclusion: Results demonstrate that fall is an important health problem for elderly women living alone, and show fall experience for factors influencing fear of falling. These results could be used in the developing fall prevention programs.

A Study on Factors Affecting Social Welfare Centers and Facilities' Resource Mobilization (사회복지시설의 민간자원 동원에 영향을 주는 요인 연구: 후원을 중심으로)

  • Kim, Mee-Sook;Kim, Eun-Jeong
    • Korean Journal of Social Welfare
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    • v.57 no.2
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    • pp.5-40
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    • 2005
  • Social welfare centers and residential care facilities where provide the socially disadvantaged with proper social services, face financial difficulties. This is because not only of the lack of governmental support, but also of social welfare centers and residential care facilities' lack of skills in developing abundant resources from the private sector. In this context, this study tried to find factors affecting resource mobilization of the social welfare facilities to devise policies in resource development. Mail survey was conducted with the structured questionnaire. Employees in charge of community resource development were asked to answer the questionnaire. The study population were welfare centers and residential care facilities. A total of 293 community welfare centers and 632 residential care facilities responded to the survey. The response rate was about 62%. The dependent variables of the study were the amount of resource mobilization in the year 2001 which was measured as the number of donors, the total amount of donation, and estimated amount of gift-in-kind. Three types models were constructed per each welfare institution. Independent variables were selected based on the previous research findings: community environment factor, structural factor, and resource development factor. Multiple regression was utilized to analyze the data. The resource development factor turned out to be significant variable in various models. In the models of donors, the amount of donation, and the amount of gift-in-kind (except for the welfare center model), at least one out of six variables of the resource development factors was significant welfare center. Welfare centers which establish the resource development department or hire employees to take care of resource development, utilize computer softwares to file donors, and utilize donor management programs, have more donors and/or donations than their counterparts. In addition, residential care facilities located in urban area have more donors and donations, and among residential facilities those for the disables, those with longer history and more employees, receive more donations than their counterparts. As for the gift-in-kind model, the welfare centers located in high income area and residential care facilities for the elderly, children and mentally retarded receive less gift-in-kind than their counterparts Based on the above findings, this study suggested that to mobilize resources the welfare centers as well residential care facilities need to have community resource development department or resource development staffs, adopt computer software to systematically organize donors, and utilize donor mobilizing and maintaining programs.

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