In this paper, a study was conducted to find main factorsto Pima Indians Diabetes based on machine learning. Diabetes is a type of metabolic disease such as insufficient secretion of insulin or inability to function normally and is characterized by a high blood glucose concentration. According to a situation report from WHO(World Health Organization), Diabetes is a chronic, metabolic disease characterized by elevated levels of blood glucose (or blood sugar), which leads over time to serious damage to the heart, blood vessels, eyes, kidneys and nerves. And also about 422 million people worldwide have diabetes, the majority living in low-and middle-income countries, and 1.6 million deaths are directly attributed to diabetes each year. Both the number of cases and the prevalence of diabetes have been steadily increasing over the past few decades. Therefore, in this study, we used Support Vector Machine (SVM), Decision Tree, and correlation analysisto discover three important factorsthat predict Pima Indians diabetes with 70% accuracy. Applying the results suggested in this paper, doctors can quickly diagnose potential Pima Indians diabetics and prevent Pima Indians diabetes.
Purpose: Pediatric patients in low-income countries are at a high risk of malnutrition. Numerous screening tools have been developed to detect the risk of malnutrition, including the Subjective Global Nutritional Assessment (SGNA), Pediatric Yorkhill Malnutrition Score (PYMS), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Screening Tool for Risk of Nutritional Status and Growth (STRONGkids). However, anthropometry remains the main tool for assessing malnutrition. We aimed to identify the value of four nutritional screening tools versus anthropometry for evaluating the nutritional status of children. Methods: We conducted a cross-sectional study of 1,000 children aged 1-12 years who visited the outpatient clinic of Cairo University Pediatric Hospital. Each participant was evaluated using anthropometric measurements (weight, length/height, and weight for length/height) as well as the PYMS, STAMP, STRONGkids, and SGNA screening tools. The sensitivities and specificities of these four tools were assessed using anthropometry as the gold standard. Results: Of the patients, 1.7% were underweight, 10.2% were wasted, and 35% were stunted. STRONGkids demonstrated the highest sensitivity (79.4%) and a high specificity (80.2%) for detecting malnutrition compared with weight for height, followed by STAMP, which demonstrated lower sensitivity (73.5%) but higher specificity (81.4%). PYMS demonstrated the lowest sensitivity (66.7%) and the highest specificity (93.5%), whereas SAGA demonstrated higher sensitivity (77.5%) and lower specificity (85.4%) than PYMS. Conclusion: The use of nutritional screening tools to evaluate the nutritional status of children is valuable and recommended as a simple and rapid method for identifying the risk of malnutrition in pediatric patients.
Purpose: Despite the high incidence of abdominal stab injuries, the rate of nontherapeutic laparotomies and the predictors of therapeutic laparotomies have rarely been studied in low-income settings. Methods: This multicenter retrospective study involved three of the largest academic medical centers in central Ethiopia. All patients who sustained an anterior abdominal stab injury and underwent exploratory laparotomy, regardless of the intraoperative findings, were included over the 3-year course of the study. Results: Of the 117 patients who underwent exploratory laparotomy, 35 patients (29.9%) underwent nontherapeutic laparotomies. Three factors predicted therapeutic laparotomy: hollow viscus evisceration (adjusted odds ratio [AOR], 5.77; 95% confidence interval [CI], 1.16-28.64; P=0.032), localized and generalized peritonitis (AOR, 4.77; 95% CI, 1.90-11.93; P=0.001), and white blood cell count ≥11,500/mm3 (AOR, 2.77; 95% CI, 1.002-7.650; P=0.049). The overall positive predictive value of the therapeutic predictors was 80.2%, while the negative predictive value of all predictor-negative patients was 58.1%. The predictors would have prevented 51.4% of the nontherapeutic laparotomies. Conclusions: Close to one-third of the patients had a nontherapeutic laparotomy. The clinical predictors of therapeutic laparotomy were shown to have a high positive predictive value despite a lower negative predictive value. Further prospective studies that involve all patients who sustain anterior abdominal stab injuries are needed to potentially improve on the negative predictive value of the predictors suggested by our study.
Background: The influence of parental socio-economic status on childhood cancer treatment outcome in low-income countries has not been sufficiently investigated. Our study examined this influence and explored parental experiences during cancer treatment of their children in an Indonesian academic hospital. Materials and Methods: Medical charts of 145 children diagnosed with cancer between 1999 and 2009 were reviewed retrospectively. From October 2011 until January 2012, 40 caretakers were interviewed using semi-structured questionnaires. Results: Of all patients, 48% abandoned treatment, 34% experienced death, 9% had progressive/relapsed disease, and 9% overall event-free survival. Prosperous patients had better treatment outcome than poor patients (P<0.0001). Odds-ratio for treatment abandonment was 3.3 (95%CI: 1.4-8.1, p=0.006) for poor versus prosperous patients. Parents often believed that their child's health was beyond doctor control and determined by luck, fate or God (55%). Causes of cancer were thought to be destiny (35%) or God's punishment (23%). Alternative treatment could (18%) or might (50%) cure cancer. Most parents (95%) would like more information about cancer and treatment. More contact with doctors was desired (98%). Income decreased during treatment (55%). Parents lost employment (48% fathers, 10% mothers), most of whom stated this loss was caused by their child's cancer (84% fathers, 100% mothers). Loss of income led to financial difficulties (63%) and debts (55%). Conclusions: Treatment abandonment was most important reason for treatment failure. Treatment outcome was determined by parental socio-economic status. Childhood cancer survival could improve if financial constraints and provision of information and guidance are better addressed.
Background: This paper aims to demonstrate current health expenditure (CHE) and National Health Accounts of the years 2015 constructed according to the SHA2011, which is a new manual of System of Health Accounts (SHA) that was published jointly by the Organization for Economic Cooperation and Development (OECD), Eurostat, and World Health Organization in 2011. Comparison is made with international trends by collecting and analysing health accounts of OECD member countries. Particularly, financing public-private mix is parsed in depth using SHA data of both HF as financing schemes as well as FS (financing source) as their revenue types. Methods: Data sources such as Health Insurance Review and Assessment Service's publications of both motor insurance and drugs are newly used to construct the 2015 National Health Accounts. In the case of private financing, an estimation of total expenditures for revenues by provider groups is made from the Economic Census data; and the household income and expenditure survey, Korean healthcare panel study, etc. are used to allocate those totals into functional classifications. Results: CHE was 115.2 trillion won in 2015, which accounts for 7.4 percent of Korea's gross domestic product. It was a big increase of 9.3 trillion won, 8.8 percent, from the previous year. Government and compulsory schemes's share (or public share) of 56.4% of the CHE in 2015 was much lower than the OECD average of 72.6%. 'Transfers from government domestic revenue' share of total revenue of HF was 17.8% in Korea, lower than the other contribution-based countries. When it comes to 'compulsory contributory health financing schemes,' 'Transfers from government domestic revenue' share of 14.9% was again much lower compared to Japan (44.7%) and Belgium (34.8%) as contribution-based countries. Conclusion: Considering relatively lower public financing share in the inpatient care as well as overall low public financing share of total CHE, priorities in health insurance coverage need to be repositioned among inpatient care, outpatient care and drugs.
International Journal of Internet, Broadcasting and Communication
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v.13
no.1
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pp.20-25
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2021
In the background of the rapid development of the IoT, smart home work is becoming more and more important to each science and technology company. Smart home provides a safe, comfortable, high-quality, high-performance smart home living space compared to general homes, and at the same time It is responding to the low-carbon, eco-friendly global trend. Growth drivers driving the smart home market are increasing the number of Internet users, increasing disposable income in developing countries, increasing the importance of remote home monitoring, and increasing the need for energy saving and low carbon. In 2013-2014, Xiaomi launched a series of smart routers and smart home hardware devices. In 2015, it announced the latest product of the Xiaomi Ecological Chain, the "Smart Home Package," and in 2016 launched the MIJIA brand to invest in various smart product companies. In 2017, Xiaomi announced a plan to build an open smart hardware MIOT platform. We investigated the management strategy of Xiaomi home smart service based on IOT. The management strategy was divided into cost lead strategy, differentiation strategy of Xiaomi home service, and AIOT strategy of Xiaomi smart home.
Journal of Information Technology Applications and Management
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v.12
no.2
/
pp.79-106
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2005
This study, by adopting case study methodology, is focused on examining the present state and analyzing the cause of the digital divide, and suggesting policies for bridging the divide, specifically in view of SMEs. We have taken cases of manufacturing companies, visiting and interviewing 18 SMEs in 10 APEC member economies which show sharp difference in usage of ICT. In order to analyze the digital gap among SMEs, we used 5 variables that are composed of computer hardware, computer software, Internet, readiness of ICT, and performance of ICT adoption, while categorizing the cases into low and high tier based on the national ICT index. From a computer hardware perspective, the high tier (0.66) has almost double the number of PC’s per employee, compared with the low tiers (0.34). This gap can be explained by financial availability of low income and high tariff in the developing economies. In the computer software perspective, the SMEs in the low tier had some restrictive use of computer applications such as financial and accounting management and document management, while those in the high tier enjoyed more diversity in the use of applications such as inventory management, sales management, financial and accounting management, procurement management, CRM, and ERP. In view of the readiness of ICT, the difference in ICT infrastructure and financial status between the low and high tier was far wider than any other variables. As a result of ICT adoption, SMEs benefited in view of learning and growth, internal business processes, customer service, and financial affairs. To effectively bridge the digital divide between the low and high tier, actions such as setting up a secondary market of used computers among cooperating developed and developing countries, developing and diffusing good business applications, and building speedy, low-cost telecommunication infrastructures should be taken.
During the pandemic status of COVID-19 since 2019 December, demands and attention on various convergence services with non-contact technologies and social adoption are increasing. Along with these increased demands and attention, the digital divide issues should be concerned to understand the informatization degrees of rural area residences, the elderly, the disabled, and the low-income. Furthermore, rural area residences may be the elderly, the disabled, and the low-income also. It may mean that the rural area should be considered as in noticeable status of the digital divide. This study focuses on the policy alternatives to reduce the digital divide in rural areas with a literature review methodology and on the factors on informatization issues in rural areas. For the aims, this study analyzes the EU cases of informatization in rural areas to find out the advantages and disadvantages of the suggested policies. As the analysis result, it is clear that the EU countries try to enhance the economic and growth powers rather to reduce the digital divide gaps. Also, it can be considered that the EU countries focus on supporting the rural area to adopt the non-contact information services newly rather on maintaining the IT education services and the infrastructures in off-line environments.
Kim, Kyung-Phil;Lim, Seung-Ju;Han, Jung-Hoon;Choi, Jong-Woo;Kim, Sang-Hyo
Journal of Distribution Science
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v.14
no.8
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pp.139-151
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2016
Purpose - In Chinese rose market, Korea competes against Latin American and African countries, but is not so competitive in terms of price and quality, implying the importance of using appropriate marketing strategies. This study aims to examine Chinese rose consumers' recognition and attributes of preference for roses produced in Korea, in order to use the result as baseline data for Korean rose exporters to China and provide implications that help establish a variety of marketing strategies targeting each region, income and age group. Research Design, Data and Methodology - 112 Chinese people were involved and interviewed in Chinese horticulture industry who had participated in 2016 Hortiflorexpo IPM Beijing. Online questionnaire survey was additionally conducted with 533 Chinese living in Korea and China. The Conjoint Analysis was conducted for region, age, and income group of respondents to estimate the relative importance of rose attributes evaluated by each population group and the utility derived from each attribute level. This process aimed to compare respective population groups for the relative importance and utility to derive implications for targeted marketing strategies. Results - The analysis finds that Chinese rose consumers prioritize rose color, followed by price, flowering stage, and flower size in purchasing roses. They prefer red roses most, followed by pink and then yellow. Moreover, they prefer larger roses, and relatively cheaper roses. The analysis reveals they prefer roses in their 20%-flowering stage to more than 40%-flowering stage. Conclusions - Establishing marketing strategies differentiated for each Chinese consumer group is critical in expanding Korean rose export. The analysis finds while Chinese consumers living in Beijing considered rose color and flowering stage more importantly than their counterparts in Shanghai, Chinese consumers living in Shanghai considered rose price and size more importantly than their counterparts living in Beijing. Therefore, establishing marketing strategies based on these attributes of preference in each region is necessary. Mid & low-income consumer groups considered price as the most important factor, and high-income consumer groups considered rose color as the most important one. It is, thus, important to focus on rose color when establishing a marketing strategy with targeting the high-income consumer group.
The expected launching countries are selected based on the state and strategy of businesses undertaking by LH, then the legal systems for urban development of those countries are investigated and analyzed to be used as basic data for advancing to oversea urban development. The results are showing as follows. First, on the basis of the advancing priority, and the level and obtaining possibility of legal system for urban developments, Bangladesh, Thailand, Dominican Republic, and Venezuela are selected to be investigated among the countries of Central and South America and Asia to where expected to be advanced. Second, most of the selected countries establish and promote the national housing policies by their own National Housing Authority. For example, First-Home Policy and National Housing Development Strategy, etc. are established in Thailand, and National Housing Authority takes charge of the housing development for low-income bracket. Third, the laws and project procedures are investigated, then compared to the similar laws of Korea. The common "Land Allocation Act" is legislate in Bangladesh and Thailand, for example, "Land Allocation Act" and "Town and City Planning Act" are enacted in Thailand. On the other hand, the laws for urban and housing developments vary from country to country those are located in Central and South America. Meanwhile, it is verified that "Act on Planning and Use of National Territory" of Korea is similar to the "Town and City Planning Act" of Thailand.
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