• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.49-54
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• 2021

With the recent development of smart healthcare technology, interest in daily diseases is increasing. However, healthcare data has an imbalance between positive and negative data. This is caused by the difficulty of collecting data because there are relatively many people who are not patients compared to patients with certain diseases. Data imbalances need to be adjusted because they affect performance in ongoing learning during disease prediction and analysis. Therefore, in this paper, We replace missing values through multiple imputation in detection models to determine whether they are prevalent or not, and resolve data imbalances through over-sampling. Based on AutoML using preprocessed data, We generate several models and select top 3 models to generate ensemble models.

• Journal of Dental Rehabilitation and Applied Science
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• v.36 no.4
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• pp.203-210
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• 2020

By facing the era of the 4th industrial revolution, personalized medical services for patients are expanding with the development of information and communications technology. With these changes, digital medical devices have begun to be used to support diagnosis, patient monitoring, and decision-making of diseases, and recently software medical devices for the purpose of preventing, managing, or treating disorders or diseases have become popular. The aim of this article is to understand the current concept and status of Software as a Medical Device (SaMD), which are actively being carried out in the United States, and to find out what fields can be applied in the future. In addition, it intends to find out the Korean domestic policy trends related to smart healthcare and find out the application of digital software as a medical devices that can be used in dental clinic to keep pace with the upcoming changes in the medical field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1650-1662
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• 2014

This study aimed to develop smartphone application contents for the medication reconciliation of high-alert medications and to evaluate the satisfaction for this application. The xcode 4.5 and ios 6.1 SDK(software development kit) were used for constructing screen of the system. After implementation during 4 weeks, thirty five ICU(Intensive Care Unit) nurses were asked function related, contents related, and usage related satisfaction using 12 items. And differences of satisfaction according to the number of daily use and the frequency of use were evaluated. Data were analyzed using descriptive analysis, ANOVA with the SPSS 18.0. We developed the formula for drug dosage calculation, the alarming procedure, and the information of the high alert medication. In the satisfaction items, the mean score of 'This application is helpful to perform drug dosage calculation' was 3.14. However, 'I satisfy this application' was relatively low as 2.94. There were no differences in satisfaction according to the daily use and frequency of use. Based on the results of this study, more advanced smartphone application for medication reconciliation of high-alert medications will provide an important platform for patient safety.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.65-72
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• 2016

A mobile healthcare application is a healthcare software application designed to run on mobile devices such as smartphone and tablet computers. Mobile healthcare applications have enormous potential for monitoring and care everyday living of patient with chronic disease. In fact, mobile healthcare applications are found to be active in various fields. However, the development is rarely done in Korean medicine field. The aim of this study was to develop the healthcare application based on the tongue diagnosis. The process included planning, designing, programming, and revising. Through a pilot study, the application was found the improvement requirement, and to be usable in the real-life settings.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1439-1446
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• 2017

Steady exercise or walking exercise is helpful for the treatment of chronic diseases or cancers. In this paper, I presented a smart poster to enable the patients to exercise while moving between the smart posters, dynamically, in order to provide better exercise effect to them. It can be a new form of exercise prescription that combines exercise with walking using smart posters. The personalized exercise prescription is downloaded from the management server in real time when the patient approaches, and induces the patient's exercise and walking. In addition, the smart poster helps patient to move to other posters in order to induce more walking exercise. To achieve this, I proposed a transfer protocol that autonomously exchanges session information between smart posters in this paper. Moreover, the smart poster based on Raspberry was implemented to verify validity of this protocol, and an experiment was conducted to measure the request and response time between smart posters in the implemented environment. In the experiment, when the other poster sent the message requesting the exercise session 100 times and received the response message, the 95 percentage of received messages had the response time within 0.05 seconds.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.112-121
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• 2011

It has become general common sense through numerous researches that exercise provides positive impacts on physical and mental health. And it has been reported that regular exercise adjusts obesity by reducing body fat and lipid levels found in the blood and ultimately, it improves human quality of life. In this study, indices for managing swimming exercise therapy were induced through prior researches and weighted value was measured by modelling correlations between indices by using fuzzy ANP (Analytic Network Process) technique. With the determined results, users can be provided with real-time individualized exercise prescription without space constraint. And patient management system was intended to be realized so that tailor-made management per patient can be established on real-time through mobile equipments such as portable phone, smart phone, notebook and etc.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.9-14
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• 2008

Ubiquitous implementation of indoor location-based technology is recognized that one of the important elements of the technology. Specifically, the hospital management of patients, the silver-town management, the implementation of the smart home for the indoors rather than outdoors in a range of broadband users for location-aware technology is needed. This paper in wireless devices with an indoor location awareness shows about the system's technical design and implementation. Location-based technology for wireless LAN users aware of the strength of radio signals (Received Signal Strength Indication, RSSI) using trilateration. Topographic mapping system will be implemented wireless devices and servers, Access Point (AP), which is the system's development and testing throughout the physical environment to determine the potential for real-life applications.

• Korean Journal of Adult Nursing
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• v.26 no.3
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• pp.253-265
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• 2014

Purpose: This study was done to develop and evaluate a smartphone application for the medication confirmation of high-alert medications. Methods: A nonequivalent control group non-synchronized design was used for this study. Participants in the treatment group used the application for four weeks. Data were analyzed using descriptive analysis, ${\chi}^2$-test, and t-test for the homogeneity of participants, and a paired t-test for effectiveness in each group with the SPSS 18.0. Results: Stability of medication administration was estimated by knowledge and certainty, ranged from a score of one to three. A correct answer with high certainty was coded as high stability, low certainty regardless of correct answer was coded as a moderate stability, and incorrect answers with high certainty were rated as low stability. There were no differences in 'knowledge of high alert medication', 'Certainty of knowledge', 'stability of medication administration', 'confidence of single checking medication', and 'medication safety activities' between the treatment group and the comparison group. The treatment group reported a greater difference between pretest and post-test in 'certainty of medication knowledge' (t=3.51, p=.001) than the comparison group. Conclusion: Smartphone application for medication confirmation of high-alert medications will provide an important platform for reducing medication errors risk.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.431-434
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• 2012

The network traffic increases due to the web service and mobile application use while the smart device user increases rapidly. This paper presented the QRcode application as network data loss problem in the u-Health mobile environment and encryption module alternative. Therefore, the bio-information of the patient was collected and QRcode was produced in the PC based. In addition, the rate of reading recognized in the polution and damage was confirmed. The data traffic loss ratio using the network performance measurement equipment was tested.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.764-767
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• 2017

최근 개인정보 활용에서 보안 및 인증에 대한 중요성이 대두되고 있으며, IoT 기반의 바이오 디바이스를 접목한 생체인식 기술은 사용자의 식별과 인증을 위해 다양한 분야에서 많은 발전을 보이고 있다. 본 논문에서는 대규모 뇌파신호를 효과적으로 처리하기 위한 방안으로 Deep Learning 기법을 적용한 뇌파 데이터 식별과 이를 분석한 사용자 인증이 가능한 스마트 자물쇠 모델을 제안한다. 제안한 뇌파신호를 활용한 Deep Learning 기반 사용자 식별 및 인증 모델은 보안 시스템에서의 활용뿐만 아니라 다양한 사물인터넷과 접목 시킬 수 있으며, 뇌성마비 또는 신체 활동이 제한적인 환자의 경우 일상생활의 제약을 줄이고 삶의 질적 향상에 도움이 될 것으로 기대한다.