• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.2-3
• /
• 2022

본 논문에서는 환자들의 병력, 약물복용 내역 등 의료 데이터들을 저장하고 응급상황 발생시 이 정보들을 효율적으로 활용하는 구급활동 서비스를 설계한다. 설계된 구급용 의료정보 시스템은 구급데이터 클라우드, 전처리에 의한 사전 매핑 시스템, 구급대원들의 판단과 처치를 지원해주는 정보 제공 시스템 등으로 구성되어 있다. 매핑된 구급활동 리스트를 이용하여 구급대원들은 여러 검사와 조치를 병렬적으로 수행할 수 있어서 표준화된 구급활동의 효율을 높일 수 있다.

• The Journal of Bigdata
• /
• v.1 no.2
• /
• pp.79-89
• /
• 2016

News organizations are looking for a way that can be reused accumulated intellectual property in order to find a new insights. BBC is a worldwide media that continually enhances the value of the news articles by using Linked Data model. Thus, utilizing the Linked Data model, by reusing the stored articles, can significantly improve the value of news articles. In this paper, we conducted a study of Linked Data construction for the healthcare news from a newspaper company. The object names associated with medical description or connected to other published information have been constructed into Linked Open Data service. The results of the study are to systematically organize the news data that were accumulated rashly, and to provide the opportunity to find new insights that could not be found before by connecting to other published information. It may be able to contribute to reused news data. Finally, using SPARQL query language can contribute to interactively searched news data.

• Journal of the Korea Computer Graphics Society
• /
• v.23 no.3
• /
• pp.87-94
• /
• 2017

Due to improvements in the capabilities of commercial game engines, there are increasing instances of applying game engines to scientific visualization applications. This study describes a case of creating a virtual reality application that visualizes medical volume data based on the Unity3D game engine. When using a game engine, there is an advantage that various functions required for an application are basically provided, such as depth sorting of translucent objects or virtual reality hardware support. On the other hand, there is a restriction that the structure of the application program should be modified to suit the characteristics of the game engine. This paper describes a method for visualizing medical volume data using the structure of a game engine. As a result, we were able to create a virtual reality scene that consisted of surface data and medical volume data fragments together. And we confirmed the possibility of game engine as a future medical simulation production tool.

• Smart Media Journal
• /
• v.1 no.4
• /
• pp.52-58
• /
• 2012

In recent years the combination of IT and BT for U-Healthcare Medical Services has attracted popular attention as an alternative for solving health problems due to aging issue. Active oxygen as free radicals causes unstable state of the body resulting to other disease on which approximate 90% of the diseases are associated with active oxygen. The severity is even higher along with increasing age. Therefore, there is a need for systematic management of active oxygen saturation for the elderly and chronic patients. In this paper, the data about active oxygen measurements from the body measurement is sent to the data storage of medical facilities by the service provider. Medical information is measured by devices provided complying with the standard, support and information using Bluetooth communication. Users can check their health status themselves using the proposed system through 3G/4G mobile devices like smart phone to medical institutions in which the smart phone act as a gateway for medical data transferred from patient to medical institutions and vice versa. Users can get and experience a diagnosis and effective U-Environmental Health Services from Medical institutions anywhere using the proposed built system.

• The Journal of Bigdata
• /
• v.6 no.2
• /
• pp.99-108
• /
• 2021

Recently, unexpected and more advanced cyber medical treat attacks are on the rise. However, in responding to various patterns of cyber medical threat attack, rule-based security methodologies such as physical blocking and replacement of medical devices have the limitations such as lack of the man-power and high cost. As a way to solve the problems, the medical community is also paying attention to artificial intelligence technology that enables security threat detection and prediction by self-learning the past abnormal behaviors. In this study, there has collecting and learning the medical information data from integrated Medical-Information-Systems of the medical center and introduce the research methodology which is to develop the AI-based Net-Working Behavior Adaptive Information data. By doing this study, we will introduce all technological matters of rule-based security programs and discuss strategies to activate artificial intelligence technology in the medical information business with the various restrictions.

• KIPS Transactions on Computer and Communication Systems
• /
• v.9 no.10
• /
• pp.239-246
• /
• 2020

In the medical field where artificial intelligence technology is introduced, research related to clinical decision support system(CDSS) in relation to diagnosis and prediction is actively being conducted. In particular, medical imaging-based disease diagnosis area applied AI technologies at various products. However, medical imaging data consists of inconsistent data, and it is a reality that it takes considerable time to prepare and use it for research. This paper describes a one-stop AI learning platform for converting to medical image standard R_CDM(Radiology Common Data Model) and supporting AI algorithm development research based on the dataset. To this, the focus is on linking with the existing CDM(common data model) and model the system, including the schema of the medical imaging standard model and report information for multi-center research based on DICOM(Digital Imaging and Communications in Medicine) tag information. And also, we show the execution results based on generated datasets through the AI learning platform. As a proposed platform, it is expected to be used for various image-based artificial intelligence researches.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.40 no.6
• /
• pp.106-117
• /
• 2003

The advanced medical information systems usually consist of loosely-coupled interaction of independent systems, such as HIS/RIS and PACS. To support easier information exchange between these systems and between hospitals, and to support new types of medical service such as teleradiology, it becomes essential to integrate separated medical information and allow them to be exchanged and retrieved through internet. This thesis proposes an integrated medical information system using XML. We analyzed HL7 and DICOM standard formats, and designed an integrated XML DTD. We extracted information from HL7 messages and DICOM files and generated XML document instances and XSL stylesheets based on the proposed XML DTD. We implemented the web interface for the integrated medical information system, which supports data sharing, information exchange and retrieval between two different standard formats. The proposed XML-based integrated medical information system will contribute to solve the problems of current medical information systems, by enabling integration of separated medical informations and by allowing data exchange and sharing through internet. The proposed system with XML is more robust than web-based medical information systems developed by using HTML, because XML itself provides more flexibility and extensibility than HTML.

• Journal of Korea Multimedia Society
• /
• v.8 no.7
• /
• pp.1000-1011
• /
• 2005

This paper presents a system for medical statistical analysis that helps medical professionals analyze clinical data more easily and accurately. It is able to recommend proper methods according to the distribution of sample data, and provides guide maps composed of icons for the understanding of the process of analysis. Besides general statistical analysis, it includes commonly-used statistical methods for medical fields, such as survival analysis and methods for repetitive measurements. The results of analysis are interactively displayed by 3D glyph-based visualization with uncertainty.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.728-731
• /
• 2014

Today, the quality of medical service has become a major concern because that sustainable development of IT technology and extending people's life expectancy. This paper, it is used as a tool for the medical information quality management that analyze tweets big data form generated by individual's daily. The result of the analyze big data offers improvement medical information based evidence based medicine. Also it has been possible for a trace observation of chronic disease and can reduce additional other complications of patients. Therefore, effective treatment of disease and prevention is possible.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.520-522
• /
• 2022

의료 인공지능은 특정 진단에서 높은 정확도를 보이지만 모델의 신뢰성 문제로 인해 활발하게 쓰이지 못하고 있다. 이에 따라 인공지능 모델의 진단에 대한 원인 설명의 필요성이 대두되었고 설명가능한 의료 인공지능에 관한 연구가 활발히 진행되고 있다. 하지만 MRI 등 의료 영상 인공지능 분야에서 주로 진행되고 있으며, 이미지 형태가 아닌 전자의무기록 데이터 (Electronic Health Record, EHR) 를 기반으로 한 모델의 설명가능성 연구는 EHR 데이터 자체의 복잡성 때문에 활발하게 진행 되지 않고 있다. 본 논문에서는 전자의무기록 데이터인 MIMIC-III (Medical Information Mart for Intensive Care) 를 전처리 및 그래프로 표현하고, GCT (Graph Convolutional Transformer) 모델을 학습시켰다. 학습 후, 어텐션 흐름 그래프를 시각화해서 모델의 예측에 대한 직관적인 설명을 제공한다.