• Journal of Physiology & Pathology in Korean Medicine
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• v.30 no.6
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• pp.458-465
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• 2016

The information relating to the health of person has been increasing. The information is such as medical information and personal health record and the information collected by utilization and dissemination of mobile devices. Therefore, the interest and demand for systems that can integrate and manage the Personal Health Record(PHR) is increasing. Quantity and quality of information that is collected from the patient can have a major impact on the diagnosis and treatment of Korean Medicine(KM) in clinical practice. Because closely observe the usual clinical symptoms of patients to utilize the treatment. But if the interview when memories are not sure of the correct answer does not get much easier to find exactly the symptoms. So when recording original symptom(素證) and daily subjective symptom can be helpful for care. Therefore, the personal health care services that can record and manage and own is necessary based on KM. In this paper, we propose Korean Medicine Personal Health Record Platform(KM PHR Platform). We have selected the significant symptoms that mean to the personal records from symptom information required for diagnosis in KM. And classifying and scoring as the symptoms were used as personal health care indicators. And significant symptoms were easily configure a screen that can be recorded. simple operation is recorded as a symptom. It was designed to reflect these functions. So KM PHR Platform helps to Personal health care. Doctor may be able to help in the diagnosis and prognosis observation by reference to shared symptom. We look forward to a variety of health services based on KM using a symptom, a medical record, personal health device information.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.273-280
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• 2012

As changed the clinical environment, the interest on u-Healthcare service and systems has been increased. The ubiquitous healthcare(u-Healthcare) systems are constructed at the integrated environment that consists of various devices and systems basically such as personal health devices(PHDs) measuring body signals, information aggregators gathering the data transmitted from PHDs through wireless technology, and health information systems storing and managing personal health information transmitted from the information aggregators. International standards such as IEEE 11073 and HL7 have been specified for the interoperability of PHDs and health information systems, but the research on u-Healthcare systems that were developed and applied in the real clinical environment by adopting the standards was rarely conducted. Therefore, we developed an u-Healthcare system which can manage personal health information, such as blood glucose, blood pressure, and body composition, based on health information exchange standards. Moreover, we verified the stability of the developed system through clinical trial in patients with endocrine disease at the Kyungpook National University Hospital, and listed problems occurred during clinical trial and found their solutions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.505-508
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• 2008

Electrocardiogram (ECG) and blood pressure (BP) are main vital signs which are the standards in most medical settings in assessing the most basic body functions. Multi parameters are desired in providing more information for health professionals in order to detect or monitor medical problems of patients more precisely. This study urges us to develop a robust wireless healthcare monitoring system which has multiple physiological signs measurements on real time that applicable to various environments which integrates wireless sensor network technology and code division multiple access (CDMA) network with extended feature of locally standalone diagnosis algorithms that implemented in tell phone. ECG signal and BP parameter of the patients are routinely be monitored, processed and analyzed in details at cell phone locally to produce useful medical information to ease patients for tracking and future reference purposes. Any suspected or unknown patterns of signals will be immediately forwarded to hospital server using cell phone for doctors' evaluation. This feature enables the patients always recognize the importance of self-health checking so that the preventive actions can be taken earlier through this analytic information provided by this monitoring system because "Prevention is better than Cure".

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.7-26
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• 2016

The present study aimed at investigating the strengths and weaknesses of a mobile personal health record (PHR) application and identifying its impacts on consumer health information behavior. For the study, twenty-seven college students used a PHR application for three months, based on which the study conducted paper-based interviews with them. The results of content analysis highlighted the benefits of the PHR such as supporting preventive healthcare and motivating and providing specific guidelines for healthy lifestyles by utilizing visual interface design, sharing the data with family and assisting caregivers to manage patients' healthcare, and above all enhancing the interaction between patients and healthcare professionals. However, the study found the drawbacks of the PHR such as a lack of data entry for strength training and the incompatibility with other healthcare applications. The participants were motivated to change their health behaviors in ways such as getting rid of sleep disorders, avoiding alcohol and smoking tobacco, and losing weight, and changing eating habits. Some consumers improved self-efficacy by changing their health behaviors, while the PHR provided emotional supports to the consumers who wanted to improve their health. The present study has an academic significance because the study of PHR is a burgeoning area in Korea. The study provides insights for promoting health and medical information services to cope with the paradigm shift of healthcare fields.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.33-39
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• 2023

As the number of people with chronic diseases increases due to an aging society, it is urgent to prevent and manage their diseases. Although biometric authentication methods and Telemedicine Systems have been introduced to solve these problems, it is difficult to solve the security problem of medical information and personal authentication. Since smart healthcare includes personal medical information of subjects, the security of personal information is the most important field. Therefore, in this paper, we tried to propose a Telemedicine System using a smart wearable device ECG in the form of a wristband and face personal authentication in a private blockchain environment. This system targets various medical personnel and patients with chronic diseases in all regions, and uses a private blockchain that can increase data integrity and transparency, ECG and face authentication that are difficult to forge and alter and have high personal identification to provide a system with high security and reliability. composed. Through this, it is intended to contribute to increasing the efficiency of chronic disease management by focusing on disease prevention and health management for patients with chronic diseases at home.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1323-1325
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• 2012

본 논문에서는 개인의료정보를 타병원이나 어플리케이션 등과 교환하기 위한 프로토콜을 설계하기위하여 개인의료정보 교환 프로토콜에 포함되는 정보를 정의하고 요청메시지의 구조를 설계하였으며, 설계한 메시지에는 초진기록, 인적사항, 수술내역 등 다양한 정보가 포함된다. 또한 실제 프로토콜을 구현할 때에는 몇 가지 상황에 따라 다양한 메시지 유형으로 구분하고 각각의 메시지를 설계하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.833-835
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• 2014

On this study, we have developed respiratory training system to improve stability of respiration, one of the most important factors of Respiratory Gated Radiation Therapy, RGRT. Respiratory training system that we developed was applied to personal respiratory cycle so that it could provide comfortable respiratory triggering to patients. To give sufficient time for practice, we used modular portable device to practice easily and to be undetered by time and place. We have intended to improve efficiency and accuracy by providing it to patients. We are now planning to conduct experiment of 10 peoples to find out stability, degree of durability betterment and regularity of respiration when patients are using respiratory training system. There are three kinds of breathing style. First is free breathing that Individual patients can breathe freely. Second is guide breathing that patients apply to personal respiration cycle through the guiding sight and hearing program. Third is prediction breathing that patients breathe after respiratory training without guiding sight and hearing program. By using these 3 data of respiration method, we have evaluated usability of respiratory training system by quantitatively analyzing respiration period, amplitude and area's variation.

• The Korean Journal of Medicine
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• v.99 no.4
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• pp.165-168
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• 2024

Initiating dialysis at an advanced age is both a clinical challenge and an ethical dilemma, because the benefits in older adults with advanced chronic kidney disease may be offset by high rates of dialysis-related morbidity. Geriatric conditions, such as aging, frailty, functional impairment, and cognitive impairment, significantly influence the prognosis of elderly patients. Therefore, it becomes important to provide patients and families with prognostic information regarding timing of initiation, which is further complicated by the competing mortality risk. Shared decision-making by clinicians and patients can yield better clinical outcomes and quality of life. Through this approach, patients can opt for the most appropriate treatment based on their personal values, which often entails conservative management.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.5
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• pp.235-241
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• 2008

Please Interests in the medical service are increasing in internet environment as life quality of the people improves because of development in information and medical technology. The medical information in today's modern internet environment can violate privacy of the patients. Many medical institutions in Korea are very passive in the privacy protection of patients in the internet environment. The law, standard scheme and systematic guidance to prevent drain of medical information are not developed. This study examines cases of infringement pattern on information of each patient in the internet environment. This study will also try to find a solution to protect the personal information of patients in the internet environment in the measures of law system, technique and management.