• Title, Summary, Keyword: Income prediction

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A Prediction Model for Depression in Patients with Parkinson's Disease (파킨슨병 환자의 우울 예측 모형)

  • Bae, Eun Sook;Chun, Sang Myung;Kim, Jae Woo;Kang, Chang Wan
    • Korean Journal of Health Education and Promotion
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    • v.30 no.5
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    • pp.139-151
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    • 2013
  • Objectives: This study investigated how income, duration of illness, social stigma, quality of sleeping, ADL and social participation related to Parkinson's disease(PD) predict depression in a conceptual model based on the International Classification of Functioning(ICF) model. Methods: The sample included 206 adults with idiopathic Parkinson's disease(IPD) attending D university hospital in B Metro-politan City. A structured questionnaire was used and conducted face-to-face interviews. The collected data were analyzed for fitness, using the AMOS 18.0 program. Results: A path analysis showed that the overall model provided empirical evidence for linkages in the ICF model. Depression was manifested by significant direct effects of social stigma(${\beta}=.20$, p<.001), quality of sleeping(${\beta}=-.40$, p<.001), ADL(${\beta}=-.20$, p<.01), and social participation(${\beta}=-.12$, p<.05), indirect effects including income(p<.05), duration of illness(p<.05). These variables explained 45.9% of variance in the prediction model. Conclusions: This model may help nurses to collect and assess information to develop intervention program for depression.

The Factors of Participating in a Smoking Cessation Program using Integrated Method of Decision Tree and Neural Network Algorithm (인공신경망 분석과 결정트리 융합에 의한 금연 프로그램 참여 결정 요인)

  • Byeon, Haewon
    • Journal of the Korea Convergence Society
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    • v.6 no.2
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    • pp.25-30
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    • 2015
  • The purpose of this study was to analyze the factors that affects the participating in a smoking cessation program. Data were from the A Study on the Seoul Welfare Panel Study 2010. Subjects were 1,326 smokers aged 19 and older living in the community. Dependent variable was defined as experience of smoking cessation. Explanatory variables were included as age, gender, level of education, employment status, household income, marital status, drinking, self-reported health status, depression, disease, and physical activity. A prediction model was developed by the use of a Decision Tree and Neural Network Algorithm. In the Prediction model, self reported health status, disease, income, household income were significantly associated with participating in a smoking cessation program. Based this study, systematic education and development of programs are required.

Predicting Employment Earning using Deep Convolutional Neural Networks (딥 컨볼루션 신경망을 이용한 고용 소득 예측)

  • Ramadhani, Adyan Marendra;Kim, Na-Rang;Choi, Hyung-Rim
    • Journal of Digital Convergence
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    • v.16 no.6
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    • pp.151-161
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    • 2018
  • Income is a vital aspect of economic life. Knowing what their income will help people create budgets that allow them to pay for their living expenses. Income data is used by banks, stores, and service companies for marketing purposes and for retaining loyal customers; it is a crucial demographic element used at a wide variety of customer touch points. Therefore, it is essential to be able to make income predictions for existing and potential customers. This paper aims to predict employment earnings or income based on history, and uses machine learning techniques such as SVMs (Support Vector Machines), Gaussian, decision tree and DCNNs (Deep Convolutional Neural Networks) for predicting employment earnings. The results show that the DCNN method provides optimum results with 88% compared to other machine learning techniques used in this paper. Improvement of the data length such PCA has the potential to provide more optimum result.

A Regional Study for Low-Income Affordable Housing Plan - With a Focus on Lansing Metropolitan Area in Michigan, USA - (미국 지방정부의 저소득층을 위한 부담가능주택 수요분석 및 정책사례 연구 - 미시건주 및 랜싱도시권을 사례로 -)

  • Lee, Jae Choon
    • Journal of the Korean housing association
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    • v.27 no.2
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    • pp.1-9
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    • 2016
  • This paper introduced the affordable housing support programs and system of the State of Michigan and Lansing Metropolitan Area and reviewed the affordable housing plan of Lansing area. This paper also examined their challenges and efforts to solve the affordable housing issues with additional analysis. The affordable housing planning process was also presented with a comprehensive analysis and future prediction of demographic characteristics and housing supply and demand for affordable housing. Especially, the trend and future forecast of the elderly and low-income households who have a significant impact on the affordable housing demand are considered. The U.S. and South Korea have different housing characteristics and situations. A part of the plan and suggestions of Lansing are somewhat unfamiliar, and it is difficult to introduce their suggestions into our policies. However, the affordable housing plan of Lansing Metropolitan Area suggested various solutions to solve the issues, and some of them deserve to be considered on our housing policy making.

A Study on railway noise prediction and reduction of PSC-beam bridge (PSC-beam 교량에서 철도소음 예측 및 저감방안 연구)

  • Lim, Kwang-Man;Um, Ki-Young;Cho, Kook-Hwan
    • Proceedings of the KSR Conference
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    • pp.320-328
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    • 2011
  • The down town passage segment which follows in the straight line which follows recently in high speed of the railway and rail construction is increasing. Also according to quality of life improvement of the citizens whom follows in national income increase the resident demand only becomes larger day by day about a environmental creation which is comfortable and house environmental etc. Demand of the citizens is not the problem of today yesterday about like this railway mean of transportation and with the fact that continuously will increase in future. This study is to predict and reduce railway noise from the conventional PSC-beam bridges which passes through urban areas under the government strateges of speed and weight increases of railway. The purpose of this study is to recommend a proper noise prediction method for designing pleasant roadside environments. The railway design including existing line reconstructions should minimize curved alignment to increase train speed to 180~200km/hr under the government's long-term planing such as the 4th Comprehensive National Development Plan (2000~2020), National Intermodal Transportation Plan (2000~2019) and National Railroad Network Establishment Plan (2006~2015), Since the PSC-beam bridges are mainly used for bridge structures urban areas, noise measurements were performed and analyzed to recommend the noise prediction methods for each type and speed of train respectively.

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Review of Rural Housing Policies for Rural Revitalization Based on the Analysis of Rural Newtown Projects (농어촌 뉴타운조성사업을 토대로 본 농촌 활성화를 위한 주거환경 정책 방향)

  • Park, Jung-a;Choi, Byungsook;Kang, Inho
    • Korean Journal of Human Ecology
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    • v.24 no.6
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    • pp.887-901
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    • 2015
  • This study aims to identify limitations and pending problems after reviewing the overall policies and status of rural Newtown projects, and to seek solutions to its problems. This study targeted the villages of 5 districts, which were developed as rural new-towns after 2009 and included the basic status and progress of the pilot districts. This study conducted a literature review to examine the basic status and progress of the pilot districts, and based on this, analyzed the demand prediction, site selection, project implementation, and housing and amenity facilities of the pilot districts. The study methods included literature reviews, on-site surveys, interviews with village representatives, and consultations with experts. According to the analysis results, a low occupancy rate of the Newtown project districts is because the prediction of occupancy demand was incorrectly completed before implementing the projects. Also, the eligibility for occupancy, such as age restriction and mandatory farming was too strict. Other problems included an absence of income generation support policies for rural returnees, a housing supply policy in disregard of agricultural characteristics, and a lack of understanding of maintenance of communal space, etc.

A Study on the Late Payment Behavior of the National Health Insurance Contribution (국민건강보험 지역보험료 체납 결정요인 및 체납확률 예측모형)

  • 정우진;이선미;김원훈;신승호;조우현
    • Health Policy and Management
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    • v.13 no.2
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    • pp.85-100
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    • 2003
  • The purpose of this study is to (1) identify socio-demographic, economic, village-effect variables that influence the late payment of the National Health Insurance contribution, (2) to develop the model to predict the probability of a household to make late payment of the contribution. Data is composed of information on 78,858 households, Gangnam branch, National Health Insurance Corporation, as of September 30, 2001. We analyzed the data by using multivariate logistic regressions. The major findings are as follows; (1) an older or female householder whose family consists of smaller number of members is more likely to pay the contribution late than others, (2) as for income, one who belongs to a lower income group or nm a private business tend to pay it late, (3) more attention should be paid to a householders who does not have his/her own house or automobile so as to prevent late payment, (4) lastly, those who live in villages such as Nonhyun-l-dong are less likely to pay the contribution prior to due date.

Factors Affecting In-Patient Satisfaction of Oriental Hospital (한방병원입원환자의 환자만족도에 영향을 미치는 요인)

  • 박용억
    • Korean Journal of Health Education and Promotion
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    • v.14 no.1
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    • pp.97-113
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    • 1997
  • It is very important to estimate the patients satisfaction level with medical services, to classify the objectvies according to the patients characteristics and sub-satisfaction factors. The purpose of this study is to determine the factors affecting satisfaction in oriental hospital. The 549 patients' hospitalized in five oriental hospital in Taegu city and one oriental hospital in Kyungbuk province were selected for this study. The results summarized are as follows. l. The general characteristics of 549 objectvies were included gender, age, education, occupation, income level, length of stay, health status of hospitalized, and expectation for medical care. 2. Patients characteristics affecting patients total satisfaction, as for age(b=0.05), health status of patients(b=-0.052), and expectation for medical care(b=0.117) were significant, while gender, education, job, income level, and length of stay were not. As the factors according to patients satisfaction, accessibility(b=0.09l), doctor's kindness(b=0.357), staff kindness(b=0.137), nurse's skills(b=0.111), hospital facilities(b=0.211), and medical fee(b=-0.160) were significant. In total patients' satisfaction, Doctor's kindness was the most significant of prediction variables. In general the factors affecting In-patient satisfaction of oriental hospital was highly associated with doctor's kindness.

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A Study on Financial Ratio and Prediction of Financial Distress in Financial Markets

  • Lee, Bo-Hyung;Lee, Sang-Ho
    • The Journal of Distribution Science
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    • v.16 no.11
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    • pp.21-27
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    • 2018
  • Purpose - This study investigates the financial ratio of savings banks and the effect of the ratio having influence upon bankruptcy by quantitative empirical analysis of forecast model to give material of better management and objective evidence of management strategy and way of advancement and risk control. Research design, data, and methodology - The author added two growth indexes, three fluidity indexes, five profitability indexes, and four activity indexes CAMEL rating to not only the balance sheets but also the income statement of thirty savings banks that suspended business from 2011 to 2015 and collected fourteen financial ratio indexes. IBMSPSS VER. 21.0 was used. Results - Variables having influence upon bankruptcy forecast models included total asset increase ratio and operating income increase ratio of growth index and sales to account receivable ratio, and tangible equity ratio and liquidity ratio of liquidity ratio. The study selected total asset operating ratio, and earning and expenditure ratio from profitability index, and receivable turnover ratio of activity index. Conclusions - Financial supervising system should be improved and financial consumers should be protected to develop saving bank and to control risk, and information on financial companies should be strengthened.

Impact of oral health behaviors on the presence or absence of periodontal diseases and missing tooth (당뇨환자의 구강건강행태가 치주질환 및 상실치 유무에 미치는 영향)

  • Ju, On-Ju
    • Journal of Korean society of Dental Hygiene
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    • v.11 no.4
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    • pp.511-522
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    • 2011
  • Objectives : The purpose of this study was to provide some information on the development of oral health care programs geared toward diabetics and ways of promoting their oral health. Methods : The subjects in this study were 586 diabetics who were selected from the 2009 third-year raw data of the 4th(2007~2009) National Health & Nutrition Survey. The data were analyzed with the statistical package SPSS 12.0 to grasp the influence of their sociodemographic characteristics and oral health behaviors on the presence or absence of periodontal diseases and missing tooth. Results : 1. Periodontal diseases were twofold more prevalent among the men than the women(p<0.01). By age, those who were in their 60s had 1.11-fold more periodontal diseases than those who were in their 70s and up(p<0.05). 2. The men and women were similar to each other in the number of missing tooth. By age, the number of missing tooth got smaller in proportion to decrease in age. By income, the number of missing tooth was 1.48-fold larger among the patients who earned an income of one million won or less than those who earned an income of two million won or more(p<0.01). Conclusions : The above-mentioned findings suggest that prospective cohort studies should be implemented to present prediction models of periodontal diseases and diabetes instead of merely sticking to cross-sectional studies. And oral health programs should be developed based on the findings of cohort studies to encourage diabetics to care about their oral health, and in which way they should be helped to promote their oral health should carefully be considered.