• Journal of Korea Multimedia Society
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• v.11 no.3
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• pp.386-397
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• 2008

This study proposes the actualization of a standard data model for activities through the development of clinical document architecture for medication administration using the health level 7 development frameworks(HDF) process based on object oriented analysis and development method of health level 7 V 3. Medication administration is the most common activity performed by clinical professionals at healthcare settings. A standardized information model and structured hospital information system are necessary to achieve evidence-based clinical activities. We had used HDF and various tools(Rose tree, RMIM designer, V3 generator) to create the clinical document architecture(CDA). This allowed us to illustrate each step of the HDF in the administration of medication. This study generated a information model of the medication administration process, which is one clinical activity. It should become a fundamental conceptual model for understanding international standard methodology by information technology(IT) developers with the objective of modeling healthcare information systems.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.187-193
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• 2017

Objects Internet-based healthcare services provide healthcare and healthcare services, including measurement of user's vital signs, diagnosis and prevention of diseases, through a variety of object internet devices. However, there is a problem that new security vulnerability can occur when inter-working with the security weakness of each element technology because the internet service based on the object Internet provides a service by integrating various element technologies. In this paper, we propose a user privacy protection model that can securely process user's healthcare information from a third party when delivering healthcare information of users using wearable equipment based on IoT in a mobile environment to a server. The proposed model provides attribute values for each healthcare sensor information so that the user can safely handle, store, and store the healthcare information, thereby managing the privacy of the user in a hierarchical manner. As a result of the performance evaluation, the throughput of IoT device is improved by 10.5% on average and the server overhead is 9.9% lower than that of the existing model.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.165-181
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• 2009

This paper presents an effective representation scheme for the shape analysis of the hippocampal structure and a stereoscopic-haptic environment to enhance sense of realism. The parametric model and the 3D skeleton represent various types of hippocampal shapes and they are stored in the Octree data structure. So they can be used for the interactive shape analysis. And the 3D skeleton-based pose normalization allows us to align a position and an orientation of the 3D hippocampal models constructed from multimodal medical imaging data. We also have trained Support Vector Machine (SVM) for classifying between the normal controls and epileptic patients. Results suggest that the presented representation scheme provides various level of shape representation and the SVM can be a useful classifier in analyzing the shape differences between two groups. A stereoscopic-haptic virtual environment combining an auto-stereoscopic display with a force-feedback (or haptic) device takes an advantage of 3D applications for medicine because it improves space and depth perception.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.279-282
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• 2022

Acute lymphoblastic leukemia is an acute leukemia caused by suppression of bone marrow function due to overgrowth of immature lymphocytes in the bone marrow. It accounts for 30% of acute leukemia in adults, and children show a cure rate of over 80% with chemotherapy, while adults show a low survival rate of 20% to 50%. However, research on a machine learning algorithm based on medical image data for the diagnosis of acute lymphoblastic leukemia is in the initial stage. In this paper, we compare and analyze CNN algorithm models for quick and accurate diagnosis. Using four models, an experimental environment for comparative analysis of acute lymphoblastic leukemia diagnostic models was established, and the algorithm with the best accuracy was selected for the given medical image data. According to the experimental results, among the four CNN models, the InceptionV3 model showed the best performance with an accuracy of 98.9%.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.261-267
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• 2016

As IoT technology has gained the attention all around the world, the development for various services of healthcare, smart city, agriculture, and defense based on IoT is in progress. However, it is likely that healthcare services based on IoT have a problem of being leaked of patients' biological information by a third party and that risks patients' lives. In this paper, an IoT health care service managing model based on location sensor is proposed, which secures the biological information of a patient and simplifies the procedure to process the treatment and administration steps by using the data resources sensed. Even when an emergency occurs, this proposed model can respond quickly using the location information of the patient, which enables the staff in the hospital to locate the patient in real time. In addition, there is an advantage to minimize the time and the process of care, because the location of the equipment for necessary treatment is possible to be instantaneously located with attached sensors.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.189-200
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• 2011

With rapid development and contribution of IT technology IT fushion healthcare service which is a form of future care has been changed a lot. Specially, as IT technology unites with healthcare, because delicate personal medical information is exposed and user's privacy is invaded, we need preperation. In this paper, u-healthcare service model which can manage patient's ID information as user's condition and access level is proposed to protect user's privacy. The proposed model is distinguished by identification, certification of hospital, access control of medical record, and diagnosis of patient to utilize it efficiently in real life. Also, it prevents leak of medical record and invasion of privacy by others by adapting user's ID as divided by user's security level and authority to protect privacy on user's information shared by hospitals.

• Korean Journal of Social Welfare
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• v.59 no.4
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• pp.245-272
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• 2007

The purpose of this study was to create and validate Scale of Resilience to Burnout and Scale of Burnout Risk for social workers in medical settings. For the purpose, instrument development model, a kind of mixed methods research was used. In the first phase, six dimensions of resilience(: professional competency, accomplishment and worthwhileness, firm belief and value about their profession, good teamwork, support by their agency, and individual resources) and six dimensions of risk to burnout(: dissatisfaction with organizational condition, interpersonal stress among team members, organizational conflict, work related stress, deficiency of professionalism, and individual stress) were suggested thorough the preceding papers with qualitative approaches. The second phase involved analysis of a survey of 185 participants that appeared to validate the dimensions of the measures. The construct validity and reliability of each measure were tested. And it was founded that there were its own factors in each concept, although resilience to burnout related negatively to burnout risk. The results of this study suggest mixed methods research is useful to develop measures reflecting voices in the social work field.

• Journal of the Korea Society of Computer and Information
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• v.15 no.9
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• pp.129-136
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• 2010

With mobile computing, wireless sensor network and sensor technologies, ubiquitous computing services are being realized and could satisfy the feasibility of ubiquitous healthcare to everyone. This u-Healthcare service can improve life quality of human since medical service can be provided to anyone, anytime, and anywhere. To confirm the vision of u-Healthcare service, we've implemented a healthcare system for heart disease patient which is composed of two components. Front-end collects various signals such as temperature, blood pressure, SpO2, and electrocardiogram, etc. As a backend, medical information server accumulates sensing data and performs back-end processing. To simply transfer these sensing values to a medical team may be too trivial. So, we've designed a model based on context awareness for more improved medical service which is based on artificial neural network. Through rigid experiments, we could confirm that the proposed system can provide improved medical service.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.937-939
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• 2005

의료영상의 3차원 모델링은 의학 연구 및 교육, 환자 치료를 위해 보다 정확한 정보를 제공 할 수 있다. 따라서 본 논문에서는 동맥경화가 발생된 위치를 정확하게 파악하고 빠르게 진단하는데 도움을 줄 수 있도록 3차원 개인 혈관모델의 자동생성 기법을 제안한다. 개인별 3차원 혈관모델을 생성하기 위하여 개인에 따라 모양이 다른 혈관조영사진에서 추출된 혈관영역을 기반으로 표준 모델을 변형 및 조정한다. 즉, 표준모델을 2차원으로 투영시킨 영상과 개인별 2차원 혈관영상에 대응되는 특징점을 추출하고 각 특징점의 이동량을 계산한 뒤 이 결과를 3차원으로 역 투영시킴으로써 변형된 새로운 혈관 모델을 생성한다. 3차원 혈관모델을 통하여 질병의 진행 및 차도를 환자들이 시각적으로 확인할 수 있으므로 높은 안정감을 주며 빠르고 정확한 진단으로 오진율을 감소시킬 것으로 기대된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.72-74
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• 2021

The deep learning process currently utilized in various fields consists of data preparation, data preprocessing, model generation, model learning, and model evaluation. In the process of model learning, the loss function compares the value of the model with the actual value and outputs the difference. In this paper, we analyze various loss functions used in the deep learning model for biomarker extraction, which measure the degree of loss of neural network output values, and try to find the best loss function through experiments.