• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.3
• /
• pp.1421-1426
• /
• 2016

Background: There is a considerable lack of understanding of oral cancer incidence, especially its time trend in Iran. In this study, the authors aimed to analyze time trend of oral cancer incidence with a focus on differences by gender in a period of six years - from 2005 to 2010. Materials and Methods: Both population-based cancer registry and national cancer registry (NCR) data based on pathologic reports from 2005 to 2010 were obtained from the Ministry of Health and Medical Education (MOHME). Population data were also received from Statistical Centre of Iran. Age-standardized incidence rates (ASRs) based on the World Standard Population were then calculated. Finally, Negative Binomial regression was run for time trend analysis. Results: The maximum ASR for males was calculated as 2.5 per 100,000 person-years in 2008 and the minimum was observed as 1.9 per 100,000 person-years in 2005 and 2006. Meanwhile, the maximum ASR for females was estimated as 1.8 per 100,000 person-years in 2009 and the minimum was calculated as 1.6 per 100,000 person-years in 2005 and 2006. Additionally, in females, incidence risk ratio (IRR) did not show a clear decreasing or increasing trend during the six years. Nevertheless, in males an increasing trend was observed. The maximum IRR adjusted for age group and province, for females was reported in 2009 (IRR=1.05 95% CI: 0.90-1.23), and for males was estimated in 2010 (IRR=1/2 95% CI: 1.04 - 1.38). Conclusions: Our findings highlight disparities between oral cancer incidence trends in males and females over the six years from 2005 to 2010.

• Health Policy and Management
• /
• v.30 no.1
• /
• pp.126-130
• /
• 2020

Catastrophic health expenditure refers to measure the level of the economic burden of households due to medical expenses. The purpose of this study was to examine the proportion of households that experienced catastrophic health expenditure between 2006 and 2018 using available data from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). Trend test was used to analyze the proportion of household with catastrophic healthcare expenditure. The households experienced the catastrophic health expenditure 2.08% in 2018 using the NaSTaB data. Trend analysis was significant with the decreasing trend (Annual Percentage Change [APC], -4.88; p<0.0001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92%, and KHP showed 2.48% of households experienced the catastrophic health expenditure in 2016. The trend was significantly increased in HIES (APC, 1.43; p<0.0001) and KHP (APC, 6.68; p<0.0001). Therefore, this suggests that further interventions to alleviate the burden of catastrophic health expenditure to the low-income group are needed.

• Health Policy and Management
• /
• v.31 no.1
• /
• pp.140-144
• /
• 2021

Catastrophic health expenditure refers to measure the level of the economic burden of households due to medical expenses. The purpose of this study was to examine the proportion of households that experienced catastrophic health expenditure between 2006 and 2019 using available data from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). Trend test was used to analyze the proportion of households with catastrophic healthcare expenditure. The households experienced a catastrophic health expenditure of 2.44% in 2019 using the NaSTaB data. Trend analysis was significant with the decreasing trend (annual percentage change [APC], -4.49; p<0.0001) in the proportion of households with catastrophic health expenditure. Also, the results of the 2017 KHP and the 2016 HIES showed 2.20% and 2.92%. The trend was significantly increased in the KHP (APC, 1.79; p<0.0001) and the HIES (APC, 1.43; p<0.0001). Therefore, this study suggests that further public healthcare interventions to alleviate the burden of catastrophic health expenditure, especially for low-income households, are needed.

• Journal of Veterinary Clinics
• /
• v.26 no.5
• /
• pp.401-407
• /
• 2009

In the previous article in this series we introduced the basic concepts for statistical analysis. The present review introduces hypothesis testing for continuous and categorical data for readers of the veterinary science literature. For the analysis of continuous data, we explained t-test to compare a single mean with a hypothesized value and the difference between two means from two independent samples or between two means arising from paired samples. When the data are categorical variables, the $x^2$ test for association and homogeneity, Fisher's exact test and Yates' continuity correction for small samples, and test for trend, in which at least one of the variables is ordinal is described, together with the worked examples. McNemar test for correlated proportions is also discussed. The topics covered may provide a basic understanding of different approaches for analyzing clinical data.

• Asian Journal of Innovation and Policy
• /
• v.12 no.3
• /
• pp.304-322
• /
• 2023

Text data mining ('big data methods') is one of the most widely used approaches during the COVID-19 pandemic. In particular, text data mining on Scopus databases or Web of Science (WoS). Text data mining is widely used to collect literature for later bibliometric analysis, and in the end, it becomes a literature review article. Therefore, in this article, we reveal the trend of publication of literature reviews in Scopus journals from Indonesia, Japan, South Korea, Vietnam, Singapore, and Malaysia. This article describes two essential parts, namely 1) a comparison of international publication trends and subject area of literature review publications, and 2) a comparison of Top 5 for Authors, Affiliation, Source Title, and Collaboration Country.

• Journal of Information Processing Systems
• /
• v.18 no.3
• /
• pp.359-373
• /
• 2022

The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

• Journal of Society of Preventive Korean Medicine
• /
• v.14 no.2
• /
• pp.105-120
• /
• 2010

Objectives : This study aims to evaluate the effects of expiration-to-inspiration time ratio (E/I-ratio) on heart rate, which represents cardiac autonomic function, and cold-heat in the healthy people. Methods : 49 healthy young volunteers(male : female = 32 : 17) were recruited in the study. The participants completed the questionnaire for yin-yang pattern identification and then we measured the chest plethysmogram for respiration signal and the electrocardiogram for NN intervals during different E/I-ratio from 1 to 2. We compared heart rate variability including RMS-SD, VLF, LF and HF, and the trend-cycle factors decomposed from NN interval data by time series analysis among the respective E/I-ratio. We also confirmed the difference on the trend-cycle factors according to the score of the questionnaire for cold and heat pattern identification. Results : There were differences on the trend-cycle factors from NN interval data, but no significant difference on heart rate variability, among the respective E/I-ratio. We also found significant relationship between the trend-cycle factors and the heat pattern identification scores. Conclusions : The results indicate that cardiac autonomic function can be modulated by the E/I-ratio and the modulation will be slower and more tendencious than respiratory sinus arrhythmia.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.10 no.3
• /
• pp.75-91
• /
• 2022

Purpose - This study aims to predict the future market and draw policy implications by analyzing the trend of outsourcing housework through the food subscription service. Research design, data, and methodology - Content analysis was conducted on the consumption value emphasized in advertisements by item targeting food subscription service advertisements. Advertisements used as research data were extracted via keyword searches on Google web pages. A total of 30 advertisements selected were used for the final analysis. Result -The consumption values emphasized in the advertisements for staple foods, refreshments, and special foods were analyzed by considering the following factors: price, convenience, health, and pleasure. Convenience and health were emphasized in the staple foods, and price and pleasure were emphasized in the snacks. In the case of special foods, convenience and pleasure appeared together with a focus on health. Conclusion - Based on the trend of food subscription services, the implications for the market and policies for outsourcing housework through home meal replacement can be presented. Considering that the consumption value of a food subscription service is differentiated by item, it is necessary to formulate a plan to develop the market and policies related to outsourcing housework.

• Asia pacific journal of information systems
• /
• v.29 no.4
• /
• pp.817-837
• /
• 2019

The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

• Journal of Korea Water Resources Association
• /
• v.45 no.8
• /
• pp.815-826
• /
• 2012

The underestimating trend using existing ordinary regression (OR) based trend analysis has been a well-known problem. The existing OR method based on least squares approximate the conditional mean of the response variable given certain values of the time t, and the usual assumption of the OR method is normality, that is the distribution of data are not dissimilar form a normal distribution. In this regard, this study proposed a quantile regression that aims at estimating either the conditional median or other quantiles of the response variable. This study assess trend in annual daily maximum rainfall series over 64 weather stations through both in OR and QR approach. The QR method indicates that 47 stations out of 67 weather stations are a strong upward trend at 5% significance level while OR method identifies a significant trend only at 13 stations. This is mainly because the OR method is estimating the condition mean of the response variable. Unlike the OR method, the QR method allows us flexibly to detect the trends since the OR is designed to estimate conditional quantiles of the response variable. The proposed QR method can be effectively applied to estimate hydrologic trend for either non-normal data or skewed data.