• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.6533-6537
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• 2012

Cancers are significant contributors to the mortality and health care expenditures. Cancer can be reduced and monitored by new information technology. Radio frequency identification or RFID is a wireless identification technology. The use of this technology can be employed for identifying and tracking clinical staff, patients, supplies, medications and equipments. RFID can trace and manage chemotherapy drugs. There are different types of RFID. Implantable RFID allowing a chip to be embedded under the skin and that store the cancer patient's identifier. These are concerns about applications of RFID. Privacy, security and legal issues are key problems. This paper describes capabilities, benefits and confidentiality aspects in radio frequency identification systems and solutions for overcoming challenges.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.200-202
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• 2018

Emergency care provides primary care and stability for the patient in the early stages. It saves a patient's life and minimizes the risk until that treated in a hospital. In the recent years, An attempts have been made to convergence medical technology and IT technology to overcome the limitations of temporal, spatial, and medical technology applications. In this study, we established an environment for emergency information services. The developed smart application for emergency rescue activities support can easily identify emergency situation and First Aid. Then, it can be transmitted to a remote medical guidance doctor so that emergency treatment and hospital response can be performed quickly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.279-281
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• 2017

In the recent years, An attempts have been made to convergence medical technology and IT technology to overcome the limitations of temporal, spatial, and medical technology applications. In this study, we established an environment for emergency information services. The developed smart application for emergency rescue activities support can easily identify emergency situation and First Aid. Then, it can be transmitted to a remote medical guidance doctor so that emergency treatment and hospital response can be performed quickly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.974-992
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• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.1
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• pp.38-43
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• 2004

We designed and implemented a medical image query system, including a relational database and DBMS (database management system), which can visualize image data and can achieve spatial, attribute, and mixed queries. Image data used in querying can be visualized in slice, MPR(multi-planner reformat), volume rendering, and overlapping on the query system. To reduce spatial cost and processing time in the system. brain images are spatially clustered, by an adaptive Hilbert curve filling, encoded, and stored to its database without loss for spatial query. Because the query is often applied to small image regions of interest(ROI's), the technique provides higher compression rate and less processing time in the cases.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.718-723
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• 2018

In a positive Internet of Medical Things (IoMT) environment, by combining the latest computer network technology with IoT technology, remote health care such as health care and monitoring is improved through the provision of quality medical information services. In this paper, we identified and compared the platforms applied with blockchain and presented the results of developing the product distribution de-centralized DApp. In the process, we developed a distribution platform that can use blockchain technology to identify product fraud, manage data, manage customers' information, prevent forgery, track transaction history, and facilitate product transactions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.255-262
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• 2013

Medical Gateway(MG), that integrates medical devices with its unique data format in various hospital information systems, provides effectiveness in the cost of the management unlike existing systems that uses PC as a gateway to hospital information systems because MG enables to interface medical devices with itself. However, in spite of using MG for integrating medical devices, we need additional programs or systems to interwork with EMR system of each hospital in accordance with the configuration of DB. In this paper, we design and implement the format of medical information and server system for interworking MG with EMR system. The proposed system makes easy exchanging medical data between MG and EMR system. Thus, the proposed system can contribute to a national project to export abroad advanced hospital setup converged with IT.

• Journal of Biomedical Engineering Research
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• v.38 no.5
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• pp.227-231
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• 2017

Early diagnosis of pancreatic cancer had been considered one of the important barrier for successful therapy since the five year survival rate after treatment of pancreatic cancer was critically low. Nonetheless, patients often miss the golden time of treatment because they rarely visit the hospital until their symptoms are severe. To overcome these problems, a lot of information about the patient's symptoms should be applied as biomarkers for early diagnosis. For this reason, a biomarker for early detection of pancreatic cancer (CA19-9) has been developed as a diagnostic kit. However, since the diagnosis is not accurate enough, pancreatic symptoms (abdominal pain, jaundice, anorexia, diabetes, etc.) and biomarkers (CA19-9) should be considered together. We develop an intelligent diagnostic system that considers CA19-9 and the incidence of pancreatic cancer for pancreatic symptoms that was determined by studying a large number of patient information. It shows a higher accuracy than one using CA19-9 alone. It may increase the survival rate of pancreatic cancer because it can diagnose pancreatic cancer early.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.1
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• pp.45-49
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• 2014

In this paper, we propose a secure and efficient RFID-based patient authentication protocol to not only authenticate patients' authenticity but also protect patients' personal medical informations for u-Healthcare environments. Since the proposed RFID-based patient authentication protocol provides strong security and efficiency, it can be used practically for patient authentication and personal medical information protection on the high technology medical environments such as u-Hospital and u-Healthcare.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.852-856
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• 2005

This paper proposes a new design of the ECG simulator with high resolution by using small amount of memories based on discrete least square estimation equations instead of reading the stored data inside the look-up table. The experimental results have shown that the ECG simulator using discrete least square estimation equations can display the bipolar limb leads ECG signals with low PRD (percent root-mean-square difference) while taking the less amount of memories than the previous method which used the look-up table to store ECG data for ECG simulation.