• Journal of Information Processing Systems
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• v.12 no.4
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• pp.711-723
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• 2016

With the rapid development of both ubiquitous computing and the mobile internet, big data technology is gradually penetrating into various applications, such as smart traffic, smart city, and smart medical. In particular, smart medical, which is one core part of a smart city, is changing the medical structure. Specifically, it is improving treatment planning for various diseases. Since multiple treatment plans generated from smart medical have their own unique treatment costs, pollution effects, side-effects for patients, and so on, determining a sustainable strategy for treatment planning is becoming very critical in smart medical. From the sustainable point of view, this paper first presents a three-dimensional evaluation model for representing the raw medical data and then proposes a sustainable strategy for treatment planning based on the representation model. Finally, a case study on treatment planning for the group of "computer autism" patients is then presented for demonstrating the feasibility and usability of the proposed strategy.

• Convergence Security Journal
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• v.12 no.3
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• pp.107-113
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• 2012

Due to the development of communications technology, it is now possible to be offered online from remote places. This kind of communications technology can be applied to the medical field. The medical treatment appointments in hospitals can be its typical example. But still, in most of hospitals, patient or guardian have to physically visit or call to the hospital to set up an appointment for the medical treatment. In addition, they have to wait in line in order to pay after receiving the medical treatment. The patient or guardian, after paying, receive a paper prescription and they go to a nearby pharmacy to take the medicines. They must wait in line again there in order to receive the medicine from the pharmacy. In this paper, we would like to suggest a smart medical treatment system in order to solve the problems discussed above. With this proposed system, the user will be able to make an appointment, make payments and receive medication quickly and easily without spending extra time. Also, there will be no need for paper prescriptions with this system. We discuss about the security of medical information for this proposed smart medical treatment system proposed.

• International Neurourology Journal
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• v.22 no.4
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• pp.228-236
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• 2018

Neuromodulation was introduced for patients with poor outcomes from the existing traditional treatment approaches. It is well-established as an alternative, novel treatment option for voiding dysfunction. The current system of neuromodulation uses an open-loop system that only delivers continuous stimulation without considering the patient's state changes. Though the conventional open-loop system has shown positive clinical results, it can cause problems such as decreased efficacy over time due to neural habituation, higher risk of tissue damage, and lower battery life. Therefore, there is a need for a closed-loop system to overcome the disadvantages of existing systems. The closed-loop neuromodulation includes a system to monitor and stimulate micturition reflex pathways from the lower urinary tract, as well as the central nervous system. In this paper, we reviewed the current technological status to measure biomarker for closed-loop neuromodulation systems for voiding dysfunction.

• ETRI Journal
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• v.41 no.4
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• pp.515-527
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• 2019

This paper discusses the design, implementation, and potential use of an ontology-based mobile pediatric consultation and monitoring system, which is a smart healthcare expert system for pediatric patients. The proposed system provides remote consultation and monitoring of pediatric patients during their illness at places distant from medical service areas. The system not only shares instant medical data with a pediatrician but also examines the data as a smart medical assistant to detect any emergency situation. In addition, it uses an inference engine to infer instant suggestions for performing certain initial medical treatment steps when necessary. The applied methodologies and main technical contributions have three aspects: (a) pediatric consultation and monitoring ontology, (b) semantic Web rule knowledge base, and (c) inference engine. Two case studies with real pediatric patients are provided and discussed. The reported results of the applied case studies are promising, and they demonstrate the applicability, effectiveness, and efficiency of the proposed approach.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.37-44
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• 2021

At the time of entering the super-aged society, the health problem of the elderly is becoming more prominent due to the rapid digital era caused by COVID-19, but the gap between welfare budgets and welfare benefits according to regional characteristics is still not narrowed and there is a significant difference in emergency medical access. In response, this study proposes an ICT-based New Normal Smart Care System (NNSCS) to bridge the gap I n health and medical problems. This is an integrated system model that links the elderly themselves to health care, self-diagnosis, disease prediction and prevention, and emergency medical services. The purpose is to apply location-based technology and motion recognition technology under smartphones and smartwatches (wearable) environments to detect health care and risks, predict and diagnose diseases using health and medical big data, and minimize treatment latency. Through the New Normal Smart Care System (NNSCS), which links health care, prevention, and rapid emergency treatment with easy and simple access to health care for the elderly, it aims to minimize health gaps and solve health problems for the elderly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.78-79
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• 2018

Recently, medical technology and IT technology have been trying to converge to overcome limitations of the time and the space in medical technology application. In this study, an app was developed to support remote medical direction for emergency medical services. The developed app allows doctors in remote locations to receive real-time emergency patient situations from emergency paramedics. It can also guide the patient's condition diagnosis and emergency treatment and enable rapid response from the emergency room.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1625-1630
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• 2018

In emergency situations, first aid workers are the main task of trauma evaluation and care. However, the scope of first-aid treatment is small and they are mainly carried out to the emergency room of the hospital. If a specialist who is in charge of an emergency situation is connected and emergency medical treatment through remote medical direction is performed, accurate diagnosis and appropriate care can be helped. This paper has developed an smart application(app) to support remote medical direction for emergency medical services. The developed smart app allows emergency rescuers to call a doctor at a remote location and transmit real-time status of emergency patients to vital sign and video. This will help to diagnose the patient's condition accurately. In addition, emergency care can be instructed and response in the emergency room can be made quickly.

• 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.

• The Journal of Korean Society for Radiation Therapy
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• v.29 no.2
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• pp.9-17
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• 2017

Purpose: The tissue description and electron density indicated by the Computed Tomography(CT) number (also known as Hounsfield Unit) in radiotherapy are important in ensuring the accuracy of CT-based computerized radiotherapy planning. The internal metal implants, however, not only reduce the accuracy of CT number but also introduce uncertainty into tissue description, leading to development of many clinical algorithms for reducing metal artifacts. The purpose of this study was, therefore, to investigate the accuracy and the clinical applicability by analyzing date from SMART MAR (GE) used in our institution. Methode: and material: For assessment of images, the original images were obtained after forming ROIs with identical volumes by using CIRS ED phantom and inserting rods of six tissues and then non-SMART MAR and SMART MAR images were obtained and compared in terms of CT number and SD value. For determination of the difference in dose by the changes in CT number due to metal artifacts, the original images were obtained by forming PTV at two sites of CIRS ED phantom CT images with Computerized Treatment Planning (CTP system), the identical treatment plans were established for non-SMART MAR and SMART MAR images by obtaining unilateral and bilateral titanium insertion images, and mean doses, Homogeneity Index(HI), and Conformity Index(CI) for both PTVs were compared. The absorbed doses at both sites were measured by calculating the dose conversion constant (cCy/nC) from ylinder acrylic phantom, 0.125cc ionchamber, and electrometer and obtaining non-SMART MAR and SMART MAR images from images resulting from insertions of unilateral and bilateral titanium rods, and compared with point doses from CTP. Result: The results of image assessment showed that the CT number of SMART MAR images compared to those of non-SMART MAR images were more close to those of original images, and the SD decreased more in SMART compared to non-SMART ones. The results of dose determinations showed that the mean doses, HI and CI of non-SMART MAR images compared to those of SMART MAR images were more close to those of original images, however the differences did not reach statistical significance. The results of absorbed dose measurement showed that the difference between actual absorbed dose and point dose on CTP in absorbed dose were 2.69 and 3.63 % in non-SMRT MAR images, however decreased to 0.56 and 0.68 %, respectively in SMART MAR images. Conclusion: The application of SMART MAR in CT images from patients with metal implants improved quality of images, being demonstrated by improvement in accuracy of CT number and decrease in SD, therefore it is considered that this method is useful in dose calculation and forming contour between tumor and normal tissues.