• The Journal of the Korea Contents Association
• /
• v.13 no.4
• /
• pp.8-16
• /
• 2013

Active studies are under way on telemedicine and medical support based on mobile devices in order to vitalize U-Healthcare. Especially when the medical law is revised to allow a remote prescription system, studies on a mobile prescription system will rapidly increase. And yet since mobile apps have less compatibility due to the nature of mobile platform, there is a restriction that they have to be redeveloped to be compatible with the platform. To compensate this problem, this study designs a mobile web prescription interface by using HLTML5, the standard language of mobile web development and jQuery Mobile, a JavaScript Library. It also adds a feature of converting to a form of standard protocol HL7-based messages to share data with existing hospital information system. This interface makes it possible to be interlocked with the existing hospital information system through the transmission of the HL7 messages. The advantage of the proposed system is that it can be used in various environments since it is independent of mobile platforms and compatible with general computers.

• KIPS Transactions on Computer and Communication Systems
• /
• v.10 no.10
• /
• pp.285-290
• /
• 2021

In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.15 no.4
• /
• pp.40-50
• /
• 2019

In recent years, it is important to visualize an accurate human body model for the low-end system in the medical imaging field where augmented reality technology and virtual reality technology are used. Decreasing the geometry of a model causes a difference from the original shape and considers the difference as an error. So, the error should be minimized while reducing geometry. In this study, the organ areas of a human body in the tomographic images such as CT or MRI is segmented and 3D geometric model is generated, thereby implementing the reconstruction method of multiple resolution level-of-detail model. In the experiment, a virtual reality platform was constructed to verify the shape of the reconstructed model, targeting the spine area. The 3D human body model and patient information can be verified using the virtual reality platform.

• Journal of Convergence for Information Technology
• /
• v.10 no.3
• /
• pp.7-15
• /
• 2020

As the paradigm shifts from treatment and provider-centered healthcare to prevention and consumer-centered healthcare, the integration of ICT convergence technology is calling for an era of digital healthcare industry revival in the Fourth Industrial Revolution. It is possible to provide individual customized medical services utilizing various medical data, and it is possible to provide various medical services that transcend time and space through integration with other industries. Such digital healthcare includes health, nutrition, exercise, and patient care, while the digital healthcare industry includes healthcare and IT related to medical devices, medical information systems, and healthcare platforms that can provide personal health and medical information. Due to the social demands of the aging and the increase of chronic diseases, digital healthcare is considered as an important policy in the fourth industrial revolution in Korea. In order for the digital healthcare industry to contribute to the prolongation of human life and the improvement of quality of life, it is urgent to develop related infrastructures, legal institutions, and prepare policies. In addition, it is important to activate convergent education to foster talents who will lead the digital healthcare industry. The purpose of this study was to examine the trends of the digital healthcare industry in the era of the fourth industrial revolution and the direction of government R & D policies, and to derive directions and suggestions for future development.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2011.01a
• /
• pp.321-322
• /
• 2011

이 논문에서는 최근 각광 받는 의료 융합 IT를 이용한 모바일 콘텐츠로써 안과 병원을 찾지 않고도 스마트폰을 이용하여 건강관리 서비스를 제공하는 스마트폰 앱의 개발을 다룬다. 개발하려는 서비스를 통하여, 자신의 눈 상태를 체크하고 예방할 수 있으며, 주기적인 시력검사 및 색맹/색약, 난시/근시 등의 질환을 검사하고 동체시력운동, 원근법 눈운동, 눈체조 등 눈이 좋아지는 운동과 눈이 좋아지는 그림을 통하여 눈의 피로를 해소하고자 한다. 또한 검사 결과에 따른 개인별 검사 관리표, 시력 예방 관리 그래프 제공하여 자가진단 및 시력 관리를 할 수 있도록 한다. 이러한 서비스는 시간과 장소에 구애 받지 않고 사용자에게 제공 하도록 스마트폰 앱으로 개발한다.

• Annual Conference of KIPS
• /
• 2013.11a
• /
• pp.1199-1202
• /
• 2013

최근 증권, 센서, 기후, 의료 분야 등에서 수많은 시계열 데이터들이 쏟아져 나오고 있고, 이러한 시계열 빅 데이터를 통해 의미를 찾아내고자 하는 시계열 해석 및 분석, 예측 작업의 수요가 증가하고 있다. 시계열 해석 및 분석, 예측 작업을 하기 위해서 사용 될 수 있는 기초 작업은 유사한 시계열 시퀀스를 찾아내는 유사 시퀀스 매칭과 이러한 매칭을 통해 특정 시계열 데이터의 하나의 특징이 되는 빈발 시퀀스 추출 기술이 필요하다. 본 논문에서는 이러한 시계열 빅 데이터에서 유사 시퀀스 매칭을 이용한 빈발 시퀀스 추출 문제를 효율적으로 해결하는 빈발 시퀀스 추출기(Frequent Sequence Extractor)를 개발 및 구현하였다. 또한 분산처리 플랫폼인 하둡을 이용한 데이터 파싱을 사용하여, 각 분야별 시계열 데이터를 분석하는 전문가에게 효율적인 분산처리 효과를 제공한다.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.6
• /
• pp.65-72
• /
• 2020

Today, the Internet of Things is used in many places, including homes, industrial sites, and hospitals, to give us convenience. Many services generate new value through real-time data collection, storage and analysis as devices are connected to the network. Many of these fields are creating services and applications that utilize sensors and communication functions within IoT devices. However, since everything can be hacked, it causes a huge privacy threat to users who provide data. For example, a variety of sensitive information, such as personal information, lifestyle patters and the existence of diseases, will be leaked if data generated by smarwatches are abused. Development of IoT must be accompanied by the development of security. Recently, Differential Privacy(DP) was adopted to privacy-preserving data processing. So we propose the method that can aggregate health data safely on smartwatch platform, based on DP.

• Journal of Platform Technology
• /
• v.10 no.1
• /
• pp.20-28
• /
• 2022

Artificial intelligence-based health data verification has become an essential element not only to help clinical research, but also to develop new treatments. Since the US Food and Drug Administration (FDA) approved the marketing of medical devices that detect mild abnormal diabetic retinopathy in adult diabetic patients using artificial intelligence in the field of medical diagnosis, tests using artificial intelligence have been increasing. In this study, an artificial intelligence model based on image classification was created using a Teachable Machine supported by Google, and a predictive model was completed through learning. This not only facilitates the early detection of cataracts among eye diseases occurring among patients with chronic diseases, but also serves as basic research for developing a digital personal health healthcare app for eye disease prevention as a healthcare program for eye health.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.7
• /
• pp.97-106
• /
• 2012

Management of biosignal data in mobile devices causes many problems in real-time transmission of large volume of multimedia data or storage devices. Therefore, this research paper intends to suggest an m-Health system, a clinical data processing system using mobile in order to provide quick medical service. This system deployed health system on IP network, compounded outputs from many bio sensing in remote sites and performed integrated data processing electronically on various bio sensors. The m-health system measures and monitors various biosignals and sends them to data servers of remote hospitals. It is an Android-based mobile application which patients and their family and medical staff can use anywhere anytime. Medical staff access patient data from hospital data servers and provide feedback on medical diagnosis and prescription to patients or users. Video stream for patient monitoring uses a scalable transcoding technique to decides data size appropriate for network traffic and sends video stream, remarkably reducing loads of mobile systems and networks.

• Journal of the Health Care and Life Science
• /
• v.10 no.2
• /
• pp.413-421
• /
• 2022

The online questionnaire platform was conducted with Korean medicine doctors to analyses the recognition of applicability of artificial intelligence(AI) to the field of application and department of Korean medicine. Most of all respondents did not have a chance to participate academic experience or research experience related to AI, but had a high willingness to participate in further learning and research. The level of AI understanding was supervised learning When AI is introduced to Korean medicine, the mean predicted usefulness scores to each application field for research and development of oriental medicine(74.60 points) and social policy establishment(73.68 points) are significantly higher than other of Korean medicine field of application, while those of Sasang constitutional department(66.61 points) and Korean medicine rehabilitation(65.91 points) were evaluated higher than other fields of treatment of Korean medicine. Respondents judged that the introduction of AI could be realistically useful in relatively formal fields of Korean medicine, while it would be difficult in non-formal fields.