• Journal of the Korean Society of Radiology
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• v.81 no.6
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• pp.1273-1273
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• 2020

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.115-121
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• 2017

Hospital medical services are making great efforts to provide prompt medical services to patients or improve the quality of medical services by convergence patient's healthcare information. However, recent research suggests problems about safety and efficiency when trying to transmit patient's healthcare information to hospital server via radio and wireless. In this paper, we propose a color model - based patient authentication key establishment protocol method to securely transmit patient healthcare information. The proposed method extracts randomly three color information used in the color model and vectorizes the extracted arbitrary information to obtain the key information required for user authentication as the sum of orthogonal vectors to improve the efficiency. In addition, the proposed method can securely generate key information used for user authentication without using an additional encryption algorithm. In performance evaluation result, proposed method shows that the server processing time of the sensed information is 8.1% higher than the existing method and 7.7% lower than the existing method.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.27-40
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• 2022

Medical AI, which has lately made significant advances, is playing a vital role, such as assisting clinicians with diagnosis and decision-making. The field of chest X-rays, in particular, is attracting a lot of attention since it is important for accessibility and identification of chest diseases, as well as the current COVID-19 pandemic. However, despite the vast amount of data, there remains a limit to developing an effective AI model due to a lack of labeled data. A research that used federated learning on chest X-ray data to lessen this difficulty has emerged, although it still has the following limitations. 1) It does not consider the problems that may occur in the Non-IID environment. 2) Even in the federated learning environment, there is still a shortage of labeled data of clients. We propose a method to solve the above problems by using the self-supervised learning model as a global model of federated learning. To that aim, we investigate a self-supervised learning methods suited for federated learning using chest X-ray data and demonstrate the benefits of adopting the self-supervised learning model for federated learning.

• Industry Promotion Research
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• v.7 no.3
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• pp.17-26
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• 2022

As the well-being mindset to keep our minds and bodies free and healthy more than anything else in the society we live in is spreading, the meaning of health care has become a key part of the 4th industrial revolution such as big data, IoT, AI, and block chain. The advancement of the advanced medical information service industry is being promoted by utilizing convergence technology. In digital healthcare, the development of intelligent information technology such as artificial intelligence, big data, and cloud is being promoted as a digital transformation of the traditional medical and healthcare industry. In addition, due to rapid development in the convergence of science and technology environment, various issues such as health, medical care, welfare, etc., have been gradually expanded due to social change. Therefore, in this study, first, the general meaning and current status of digital health care medical information is examined, and then, developmental tasks to activate digital health care medical information are analyzed and reviewed. The purpose of this article is to improve usability to fully pursue our human freedom.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.389-395
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• 2013

As fusing IT and medical technique, the number of patients who adhere medical equipment inside of them is increasing. However there is a problem of for the third person to tap or modulate the patient's biometric data viciously. This paper suggests quantum encryption-based key distribution model to share key for the third person not to tap or modulate the patient's biometric data between patient and hospital staff. The proposed model uses one-time pad key that shares key sending random bits not direct sending message of quantum data. Also, it guarantees patient's anonymity because the biometric data of injected-device in the body doesn't be exposed unnecessarily.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.5
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• pp.203-210
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• 2022

As more and more research and companies use health care data, efforts are being made to vitalize health care data worldwide. However, the system and format used by each institution is different. Therefore, this research established a basic model to classify text data onto multiple institutions according to the type of the future by establishing a basic model to classify the types of medical records of the EEG Report. For EEG Report classification, four deep learning-based algorithms were compared. As a result of the experiment, the ANN model trained by vectorizing with One-Hot Encoding showed the highest performance with an accuracy of 71%.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.192-195
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• 2014

u-Health 서비스는 의료기술에 ICT을 접목하여 보다 나은 건강관련 서비스를 제공할 수 있는 패러다임이다. 그러나 이러한 시스템을 도입하기에는 현실적으로 많은 도전이 존재한다. 개인의 건강관리 도구로 존재할 수 있을 것처럼 보이는 이러한 서비스는 그것이 국민의료의 질과 연관되는 이슈로 확대될 때, 환자라는 소비자집단, 의료인이라는 공급자집단, 그리고 국가라는 보건행정을 담당하는 관리집단의 이익이 첨예하게 대립할 수 있는 이슈가 될 수 있다. 이에 본 연구에서는 이러한 서비스의 제공을 이러한 개개 이익집단의 관점에서 탈피하고 순수한 양질의 의료 서비스 제공의 관점에서 살펴보아 과연 어떠한 ICT 관련 서비스 제공이 의료 환경 제고를 위해 필요한지를 파악해 보고자 하였다. 특히, 원격지에서의 자료공유를 통한 의료 서비스의 질 제고에 대해 관심을 가지고 이를 이익집단간의 이해관계가 크지 않은 ODA국가를 대상으로 하여 적용할 수 있는 서비스 모델을 제안하고자 하였다.

• Journal of Technology Innovation
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• v.31 no.1
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• pp.65-103
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• 2023

With the recent surge in the share of data-based economic activities, there have been vibrant discussions on the data economy. Yet, few extant works provide a framework for systematically analyzing the transition to the data economy by major industries in Korea. By reviewing the existing literature, we first summarize the main characteristics of the data economy as building platforms, the greater importance of predictive power, and the increased use of new analytics. Next, based on such understanding, we provide a comparative analysis regarding the degree of data-based activities in Korea's financial, real estate, and medical sectors. We find that the speed at which, and the content of the data economy characteristics being realized were different for the different sectors. These findings suggest that differentiated policy approaches by major industrial sectors such as finance, real estate, and medical care are needed to improve economic productivity and increase welfare through the spread of the data economy.

• Journal of the Korea Society of Computer and Information
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• v.14 no.3
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• pp.183-192
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• 2009

ADESS(Adverse drug event surveillance system) is the system which distinguishes adverse drug events using adverse drug signals. This system shows superior effectiveness in adverse drug surveillance than current methods such as volunteer reporting or char review. In this study, we built clinical data mart(CDM) for the development of ADESS. This CDM could obtain data reliability by applying data quality management and the most suitable clustering number(n=4) was gained through the reproducibility assessment in unsupervised learning techniques of knowledge discovery. As the result of analysis, by applying the clustering number(N=4) K-means, Kohonen, and two-step clustering models were produced and we confirmed that the K-means algorithm makes the most closest clustering to the result of adverse drug events.

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.149-153
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• 2007

본 연구의 목적은 급변하는 의료환경에 효과적으로 대처하기 위하여 우리나라 병원들을 대상으로 미국의 말콤 볼드리지 국가 품질상 (The Malcolm Bladrige National Quality Award)모형 중 의료분야 평가모형을 이용하여 우리나라 병원들의 의료품질을 평가하였다. 이를 위해 미국의 말콤 볼드리지 국가품질상의 평가기준인 리더십, 전략 계획, 측정${\cdot}$분석, 지식관리, 인적자원 중심, 프로세스 관리, 환자${\cdot}$고객, 시장중심, 결과의 7개 항목을 이용하여 평가 항목들 간에 어떠한 인과관계가 있는지를 분석하고자 한다.