• 융합정보논문지
• /
• 제11권6호
• /
• pp.154-161
• /
• 2021

본 연구는 요양병원에서 응급실로 전입된 노인의 복합만성질환 유무에 관한 특성 및 연관성을 분석하였다. 2019년 1월 1일부터 12월 31일까지의 국가응급진료정보망 자료에서 만성질환으로 응급실에 내원한 환자 중 장기요양병원에서 전입된 고령 환자들의 수는 13,608건이었다. 복합만성질환자 중 75세 이상이 79.9%이며, 복합만성질환으로 입원한 비율은 74.0%로 나타났다. 응급실 재실시간은 복합만성질환 유무에 따라 차이가 있었으며(P<0.001), 복합만성질환의 유병률은 응급실 내원환자와 응급실 경유 입원환자의 교차비(Odds ration, OR)에서 광주(OR 8.899 vs. 8.142)와 전북(OR 13.865 vs. 10.676)이 높게 나타났다. 이와 같이 본 연구는 복합만성질환의 유무에 대한 환자들의 특성들이 연령과 지역 등에 따라 서로 다르다는 것을 보여주었다.

• International Journal of Computer Science & Network Security
• /
• 제23권2호
• /
• pp.147-151
• /
• 2023

The article reviews the quality of information on the Internet in general and health information in particular, where the accumulation and steady increase of information available on the Internet, without concern for its quality or importance, and regardless of the target audience, in addition to the lack of evidence of its credibility such as the availability of the name of the editor and references, and the availability of the name of an academic or research body responsible for that information. Add to this the lack of bibliographic data that can help infer the novelty of the information, and verify the element of trust in it . The problem is exacerbated with regard to the health information available on the Internet, due to its danger resulting from the presence of false health information that may cause danger to human health if relied upon. Through this article, the researcher proposes criteria that can help users search for information to measure the degree of quality, trust, and credibility of information in general and health information available on the Internet in particular.

• 한국컴퓨터정보학회논문지
• /
• 제22권10호
• /
• pp.189-194
• /
• 2017

The purpose of this study was to find out the necessary conditions and factors what effect as a society member through the students with disabilities to have a positive and mutual peer relationship with their classmates in the school and by them analyzed formation process and elucidate signification. The research method focused on the data summarized and enumerated through the investigation methods such as two in-depth interviews and two observation activities part, and the data which are commonly stated or observed in the data. The results of this study start that the factors of peer relationship formation between children with disabilities and their with non-disabled children are caused by lack of prejudice or lack of awareness. However, continuous cognizance improvement program, teacher's education guidance, the age have presence sense and subject about friend equating idea was mainly shown of school education or local community.

• Journal of the Korean Data and Information Science Society
• /
• 제16권2호
• /
• pp.429-444
• /
• 2005

The identification of unusual observations such as outliers and high leverage points has drawn a great deal of attention for many years. Most of these identifications techniques are based on case deletion that focuses more on the outliers than the high leverage points. But residuals together with leverage values may cause masking and swamping for which a good number of unusual observations remain undetected in the presence of multiple outliers and multiple high leverage points. In this paper we propose a new procedure to identify outliers and high leverage points simultaneously. We suggest an additive form of the residuals and the leverages that gives almost an equal focus on outliers and leverages. We analyzed several well-referred data set and discover few outliers and high leverage points that were undetected by the existing diagnostic techniques.

• Journal of Communications and Networks
• /
• 제13권2호
• /
• pp.125-131
• /
• 2011

Rapid strides are being made to bring to reality the technology of wearable sensors for monitoring patients' physiological data.We study the problem of automatically detecting anomalies in themeasured blood glucose levels. The normal daily measurements of the patient are used to train a hidden Markov model (HMM). The structure of the HMM-its states and output symbols-are selected to accurately model the typical transitions in blood glucose levels throughout a 24-hour period. The learning of the HMM is done using historic data of normal measurements. The HMM can then be used to detect anomalies in blood glucose levels being measured, if the inferred likelihood of the observed data is low in the world described by the HMM. Our simulation results show that our technique is accurate in detecting anomalies in glucose levels and is robust (i.e., no false positives) in the presence of reasonable changes in the patient's daily routine.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2007년도 춘계학술발표대회
• /
• pp.558-559
• /
• 2007

The detection of neural spike activity is a technical challenge that is very important for studying many types of brain function. On temporal recordings of firing events or interspike interval series of neural signal, spike pattern correspond to action will be repeated in the presence of background noise and they need to be detected to develop higher applications. We will introduce new method to find these patterns in raw multitrial data and is tested on surrogate data sets with the main target to get meaningful analysis of electrophysiological data from microelectrode arrays (MEA).

• Asia pacific journal of information systems
• /
• 제5권1호
• /
• pp.129-163
• /
• 1995

Past research linking information technology and organizational structure has been inconclusive and contradictory. The purpose of this study is to resolve some of this confusion by taking into consideration one theoretical issue and three methodological problems. The one theoretical issue is an assessment of the importance of environment as a key external variable constraining both organizational structure and the use of information technology. To date, there has been no systematic, empirical research on the conceptual linkage among all three of these variables. The three methodological issues concern measurement problems associated with (1) controlling for different levels of analysis, (2) establishing a clear operationalization of information technology, and (3) differentiating institutional and questionnaire approaches to data collection. The research results in four conclusions. First, data confirm the environment as a key external variable in the linkage between information technology and organizational structure. Second, three central dimensions of information technology are identified: Growth of Capacity, extensiveness of information technology use, and information technology sophistication. Third, in order to maximize the explanatory power of information technology on other organizational constructs, it is necessary to differentiate between the actual use of information technology as opposed to the mere presence of information technology. Fourth, carefully designed questionnaire measures reveal no significant differences from institutional measures in the assessment of key organizational constructs.

• Journal of Information Technology Applications and Management
• /
• 제23권1호
• /
• pp.1-23
• /
• 2016

Social commerce (s-commerce) is a subset of e-commerce and uses social media for social interactions. Although s-commerce has been rapidly growing, disputes between some s-commerce firms and their consumers often occur over issues such as poor customer services, incorrect product information, and late refunds. In order for s-commerce to continuously grow, s-commerce firms need to build consumer-trust in their transaction process to minimize their consumers' uncertainty. The purpose of this study is to examine the relationships between the multidimensional trust (ability, integrity, benevolence) and the intention of continuous use of s-commerce. Moreover, this study presents antecedent factors needed for trust-building by applying the characteristics of s-commerce, and verifies the relations between the variables. We test and validate the research model and related hypotheses using structural equation modeling based on a survey done on 428 people who have previous experience with s-commerce. The result shows that trust has positive effect on the intention of continuous use, and verifies the necessity of the antecedent factors (social presence, assurance, informativeness, economic feasibility, and seller reputation) for trust-building. This study provides strategy for the continuous growth of s-commerce, and suggests theoretical implication that explains the relationship between the characteristics of s-commerce and consumers.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권8호
• /
• pp.2298-2315
• /
• 2024

This paper introduces a method aimed at diagnosing the presence or absence of lesions by detecting anomalies in Chest X-ray images. The proposed approach is based on the PatchCore anomaly detection method, which extracts a feature vector containing location information of an image patch from normal image data and calculates the anomaly distance from the normal vector. However, applying PatchCore directly to medical image processing presents challenges due to the possibility of diseases occurring only in specific organs and the presence of image noise unrelated to lesions. In this study, we present an image alignment method that utilizes affine transformation parameter prediction to standardize already captured X-ray images into a specific composition. Additionally, we introduce a region-specific abnormality detection method that requires affine-transformed chest X-ray images. Furthermore, we propose a method to enhance application efficiency and performance through feature map hard masking. The experimental results demonstrate that our proposed approach achieved a maximum AUROC (Area Under the Receiver Operating Characteristic) of 0.774. Compared to a previous study conducted on the same dataset, our method shows a 6.9% higher performance and improved accuracy.

• 복식문화연구
• /
• 제32권1호
• /
• pp.38-57
• /
• 2024

This study utilizes social big data to investigate the factors influencing the awareness, attitude, and behavior toward vegan fashion consumption among global and Korean consumers. Social media posts containing the keyword "vegan fashion" were gathered, and meaningful discourse patterns were identified using semantic network analysis and sentiment analysis. The study revealed that diverse factors guide the purchase of vegan fashion products within global consumer groups, while among Korean consumers, the predominant discourse involved the concepts of veganism and ethics, indicating a heightened awareness of vegan fashion. The research then delved into the factors underpinning awareness (comprehension of animal exploitation, environmental concerns, and alternative materials), attitudes (both positive and negative), and behaviors (exploration, rejection, advocacy, purchase decisions, recommendations, utilization, and disposal). Global consumers placed great significance on product-related information, whereas Korean consumers prioritized ethical integrity and reasonable pricing. In addition, environmental issues stemming from synthetic fibers emerged as a significant factor influencing the awareness, attitude, and behavior regarding vegan fashion consumption. Further, this study confirmed the potential presence of cultural disparities influencing overall awareness, attitude, and behavior concerning the acceptance of vegan fashion, and offers insights into vegan fashion marketing strategies tailored to specific cultures, aiming to provide vegan fashion companies and brands with a deeper understanding of their consumer base.