• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.562-567
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• 1998

This paper examined the relations among the multidimensional linear interpolation(MDI) and fuzzy reasoning , and neural networks, and showed that an showed that an MDI is a special form of Tsukamoto's fuzzy reasoning and regularization networks in the perspective of fuzzy reasoning and neural networks, respectively. For this purposes, we proposed a special Tsukamoto's membership (STM) systemand triangular basis function (TBF) networks, Also we verified the condition when our proposed TBF becomes a well-known radial basis function (RBF).

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제28권2호
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• pp.149-154
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• 2017

Objectives: The purpose of this study is to analyze the co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry, a representative journal published by a branch of the domestic psychiatric academy, in order to present the current state of the co-authoring of and developments in child and adolescent psychiatry. Methods: We visualized and estimated the basic characteristics of the co-author networks shown by 564 authors who wrote 251 papers published in the Journal of the Korean Academy of Child and Adolescent Psychiatry between 2005 and 2015, in order to assess their network characteristics, author centrality, and relevance to research performance. Results: The co-author networks in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed the characteristics of a small world and scale-free network. There was a correlation between the author centrality within the network and the research performance of the authors, but less correlation was shown between the centrality and mean paper citation counts. Conclusion: The network structure in the Journal of the Korean Academy of Child and Adolescent Psychiatry showed similarity to the co-authoring of other branches. However, given that the mean paper citation counts were less correlated with the author centrality than those in other branches, it may be necessary to promote an increase in the mean paper citation counts.

• 대한치매학회지
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• 제17권3호
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• pp.83-89
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• 2018

Machine learning is where a machine (i.e., computer) determines for itself how input data is processed and predicts outcomes when provided with new data. An artificial neural network is a machine learning algorithm based on the concept of a human neuron. The purpose of this review is to explain the fundamental concepts of artificial neural networks.

• 보건행정학회지
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• 제13권3호
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• pp.21-34
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• 2003

Patient revisit to used hospital is a key factor in determining a health care organization's competitive advantage and survival. This article examines the relationship between customer's satisfaction and his/her revisit associated with three different methods which are the Chi Square Automatic Interaction Detection(CHAID) for segmenting the outpatient group, logistic regression and neural networks for addressing the outpatient's revisit. The main findings indicate that the important factors on outpatient's revisit are physician's kindness, nurse's skill, overall level of satisfaction, hospital reputation, recommendation, level of diagnoses and outpatient's age. Among these ones, physician's kindness is the most important factor as guidelines for decision of their revisit. The decision maker of hospital should select the strategy containing the variable amount of the level of revisit and size of outpatient's group under the constraint on the hospital's time, budget and manpower given. Finally, this study shows that neural networks, as non-parametric technique, appear to more correctly predict revisit than does logistic regression as a parametric estimation technique.

• 한국병원경영학회지
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• 제17권3호
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• pp.99-109
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• 2012

• Journal of information and communication convergence engineering
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• 제9권5호
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• pp.562-566
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• 2011

As telecommunication technologies in telemedicine services are developed, the expeditious development of wireless and mobile networks has stimulated wide applications of mobile electronic healthcare systems. However, security is an essential system requirement since many patients have privacy concerns when it comes to releasing their personal information over the open wireless channels. Due to the invisible feature of mobile signals, hackers have easier access to hospital networks than wired network systems. This may result in several security incidents unless security protocols are well prepared. In this paper, we analyzed authentication and authorization procedures for healthcare system architecture to apply secure M-health systems in the hospital environment. From the analyses, we estimate optimal requirements as a countermeasure to its vulnerabilities.

• Asian Pacific Journal of Cancer Prevention
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• 제14권3호
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• pp.1731-1735
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• 2013

Objective: We aimed to identify key genes, pathways and function modules in the development of diffuse large B-cell lymphoma (DLBCL) with microarray data and interaction network analysis. Methods: Microarray data sets for 7 DLBCL samples and 7 normal controls was downloaded from the Gene Expression Omnibus (GEO) database and differentially expressed genes (DEGs) were identified with Student's t-test. KEGG functional enrichment analysis was performed to uncover their biological functions. Three global networks were established for immune system, signaling molecules and interactions and cancer genes. The DEGs were compared with the networks to observe their distributions and determine important key genes, pathways and modules. Results: A total of 945 DEGs were obtained, 272 up-regulated and 673 down-regulated. KEGG analysis revealed that two groups of pathways were significantly enriched: immune function and signaling molecules and interactions. Following interaction network analysis further confirmed the association of DEGs in immune system, signaling molecules and interactions and cancer genes. Conclusions: Our study could systemically characterize gene expression changes in DLBCL with microarray technology. A range of key genes, pathways and function modules were revealed. Utility in diagnosis and treatment may be expected with further focused research.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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• pp.177-180
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• 2008

There are many application areas of sensor networks, such as surveillance, hospital monitoring, and home network. These are dependent on the secure operation of networks, and will have serious outcome if the networks is injured. An adversary can inject false data into the network through the compromising node. Ye et al. proposed a statistical en-route filtering scheme (SEF) to detect such false data during forwarding process. In this scheme, it is important that the choice of the threshold value since it trades off security and overhead. This paper presents an adaptive threshold value determining method in the SEF using fuzzy logic. The fuzzy logic determines a security distance value by considering the situation of the network. The Sensor network is divided into several areas by the security distance value, it can each area to uses the different threshold value. The fuzzy based threshold value can reduce the energy consumption in transmitting.

• Asian Pacific Journal of Cancer Prevention
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• 제15권24호
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• pp.10797-10801
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• 2015

Background: To explore the molecular mechanisms of metastatic osteosarcoma (OS) by using the microarray expression profiles of metastatic and non-metastatic OS samples. Materials and Methods: The gene expression profile GSE37552 was downloaded from Gene Expression Omnibus database, including 2 human metastatic OS cell line models and 2 two non-metastatic OS cell line models. The differentially expressed genes (DEGs) were identified by Multtest package in R language. In addition, functional enrichment analysis of the DEGs was performed by WebGestalt, and the protein-protein interaction (PPI) networks were constructed by Hitpredict, then the signal pathways of the genes involved in the networks were performed by Kyoto Encyclopaedia of Genes and Genomes (KEGG) automatic annotation server (KAAS). Results: A total of 237 genes were classified as DEGs in metastatic OS. The most significant up- and down-regulated genes were A2M (alpha-2-macroglobulin) and BCAN (brevican). The DEGs were significantly related to the response to hormone stimulus, and the PPI network of A2M contained IL1B (interleukin), LRP1 (low-density lipoprotein receptor-related protein 1) and PDGF (platelet-derived growth factor). Furthermore, the MAPK signaling pathway and focal adhesion were significantly enriched. Conclusions: A2M and its interactive proteins, such as IL1B, LRP1 and PDGF may be candidate target molecules to monitor, diagnose and treat metastatic OS. The response to hormone stimulus, MAPK signaling pathway and focal adhesion may play important roles in metastatic OS.

• 대한간호학회지
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• 제25권4호
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• pp.774-789
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• 1995

Due to the rapid socioeconomic development and the introduction of the national health insurance system the general population's need for health care and utilization of health care services have increased dramatically. As a result of this change. Korea is experiencing a shortage of health care facilities and health manpower, and this leads long wailing line at doctor's offices. One of the solutions of this problem could be home health care system for those who have minor health related problems. With this background, this study was conducted to look at the feasibility of a home-based prenatal care system using information superhighway and nursing informatics specialists. With the home-based prenatal care system, the pregnant woman checks her blood pressure, tests her urine for sugar and protein, and measures her body weight at home and sends the information to a hospital computer via the information networks such as public telephone line and information superhighway. Nursing informatics specialist at the hospital will go through each patient record and screen those who have abnormal values and notify them to see a doctor as soon as possible. Besides telemonitoring features, the proposed system will include tole-education capabilities for the patients so that patient can learn whatever they need to know ragarding the prenatal care via information networks. If this system develops and operates, patient can save time in terms of travel to and from the hospital and waiting time in the hospital. And the health care institute can utilize its resource more efficiently.