단일 3차 의료기관에서 자동화분석기 AuroVue Innova를 이용한 ABO 혈액형 검사의 분석과 장기간의 실제 사용 경험

류성은,이현지,김혜린,신경화,김형회 대한수혈학회 2020 大韓輸血學會誌 Vol.31 No.2

Background: An increasing number of blood banks use an automated analyzer in ABO blood typing to reduce the high workload and impact of human error. On the other hand, the automated system often causes ABO discrepancies, where cell and serum typing do not match. Hence, the manual method is used for confirmation. This study evaluated the appropriateness of retesting with the manual method. In addition, the causes of ABO discrepancies were analyzed. Methods: A total of 77,590 blood samples were tested with the AutoVue Innova for ABO typing. Among them, 1280 samples were retested manually due to ABO discrepancies. The causes of the discrepancies were analyzed further through additional tests. The serum reaction grades in both methods were compared. Results: ABO typing of 76,906 samples (99.12%), which included 596 manually confirmed samples could be confirmed by the AutoVue system, while 403 samples (0.52%) continued to yield discrepant results. Weak serum reactions in the AutoVue system were observed, as previously reported. One hundred and thirty samples (66.7%), which were graded 0.5+ in the automated analyzer, yielded a negative serum reaction in the manual method, showing a greater serum reaction with the AutoVue system than with the manual method. Conclusion: The AutoVue Innova performs reliably for blood typing. On the other hand, the manual method is still useful as retesting to address the ABO discrepancies and weak or strong serum reactions. In particular, it is important to confirm samples with 0.5+ grade serum reactions manually. (Korean J Blood Transfus 2020; 31:131-140)

서비스 로봇산업의 산업연관분석

류성은,정인재 한국산업경영시스템학회 2022 한국산업경영시스템학회지 Vol.45 No.4

This study attempts to analyze the economic impact of the service robot industry using Input-Output analysis, which is conducted based on Demand-driven model, the Leontief price model, the Backward and Forward Linkage Effects, and the Exogenous Methods. In a Demand-driven model analysis, we can conclude that the service robot industry contains characteristics of both the manufacturing industry and the service industry, which causes a positive impact on the overall industry by compensating for the weaknesses of the two industries. The Leontief price analysis indicates when wages in the service robot industry increase, prices related to robot manufacturing also increase. Also, when profits in the service robot industry increase, prices related to service provision increase, too. The Backward and Forward Linkage Effects analysis shows that the service robot industry is highly sensitive to the current economic condition and has a great influence on the service industry. The service robot industry can highlight the aspect of service characteristics when the manufacturing industry is in recession and vice versa. In addition, the service robot industry can be regarded as a value-adding and domestic economy promoting industry which utilizes knowledge of information and communication technologies. It is important to foster the service robot industry in South Korea, which is in economic recession to provide an opportunity to stimulate the growth of both service and robot industries.

원발성면역결핍증 환자에서 PIDOT 패널을 이용한 림프구아형검사 유용성: 2예 보고

류성은,신경화,이현지,오승환,박수은 대한진단검사의학회 2023 Laboratory Medicine Online Vol.13 No.1

Primary immunodeficiency diseases (PIDs) are a heterogeneous group of disorders caused by genetic defects in the immune system and exhibit a variety of clinical manifestations, including recurrent infections. Rapid and proper diagnosis is vital for proper therapeutic intervention. Compared to the conventional lymphocyte subset analysis, the standardized Primary Immunodeficiency Orientation Tube (PIDOT) panel has been proposed to provide a more detailed dissection of lymphocyte subsets according to their differentiation and maturation stages. This helps in screening of a suspected PID sample, and to provide quick guidance regarding further course of testing. Here, we report two cases of PID diagnosed by lymphocyte subset analysis using PIDOT panel to establish its usefulness in a clinical laboratory. 원발성면역결핍증은 면역계의 유전적 결함으로 발생하는 이질적인 여러 질환들의 집합으로, 주된 특징인 재발되는 감염을 포함하여 다양한 임상증상을 보인다. 적절한 치료적 개입을 위해서는 빠른 진단이 필요하므로 면역표현형으로 림프구를 신속하게 구분할수 있는 전통적인 림프구 아형검사가 중요한 역할을 하였다. 그러나 분화 및 성숙단계에 따른 보다 세분화된 림프구 하위집단의 분류를 제공하여, 원발성면역결핍증이 의심될 때 질환의 유무를 선별하고 추가 검사의 방향성과 우선순위에 대한 안내를 하기 위해표준화된 Primary Immunodeficiency Orientation Tube (PIDOT)패널이 제안되었다. 저자들은 PIDOT 패널을 이용해 분화 및 성숙 단계에 따라 림프구 아형을 분석하여 원발성면역결핍증을 진단할 때 도움이 된 2명의 환아 증례를 통해 임상검사실에서 PIDOT 패널의 유용성을 보고하는 바이다.

단일 어린이병원에서 수혈이상반응의 분석 경험

류성은,이현지,신지현,신경화,유동원,김형회,장철훈 대한수혈학회 2022 大韓輸血學會誌 Vol.33 No.3

Adverse transfusion reactions (ATRs) are unexpected reactions to transfusion. This study examined the frequency, types of ATRs, and related blood products retrospectively in pediatric patients with less information than in adult patients. Four hundred and forty transfusions were performed for two months at a children’s hospital: 247 units of red blood cell (RBC) products, 142 units of platelet products, and 41 units of fresh frozen plasma (FFP) were used. Five adverse reactions occurred in five patients, three cases were allergic reactions, and two were febrile nonhemolytic reactions. The frequency was 1.13%, and apheresis platelets and leukocyte-reduced RBC were transfused. Two patients’ ATRs were found in the previous transfusions, and ATRs were repeated in subsequent transfusions in one patient. One of the ATRs was not reported to the blood bank and was then discovered during the study. Because pediatric patients may have limitations in recognizing or expressing their symptoms compared to adults, medical staff rely solely on vital signs and laboratory results rather than symptoms, causing difficulty in noticing ATRs. Information on ATRs and education on appropriate blood products will improve awareness of ATRs and blood management among medical staff at transfusion sites and blood banks. (Korean J Blood Transfus 2022;33:171-177)

자살생각자와 자살시도자를 구분해주는 심리적 특성: 습득된 자살잠재력과 기질 변인을 중심으로

류성은,유성은 한국임상심리학회 2017 Korean Journal of Clinical Psychology Vol.36 No.4

Acquired capability for suicide refers to the ability to act on lethal self-injury. The aim of the study was to examine psychological factors differentiating suicide attempters from suicide ideators, with a particular focus on acquired capability of suicidality and temperament. In this cross-sectional study, a community sample of Korean adults completed self-report measures of acquired capability for suicide using the ACSS-FAD, GCSQ, and ACWRSS, impulsivity, and aggression, along with questions of lifetime history of suicidal behavior. Among the subfactors of acquired capability for suicide derived from three self-report measures, only perceived capability of the GCSQ and preparation of the ACWRSS differentiated suicide attempters from suicide ideators. The factors of fearlessness about death and pain tolerance from the ACSS-FAD and GCSQ did not predict suicide attempt among suicidal ideators. Of the temperamental factors, none was able to differentiate suicide attempters from ideators, while both suicide ideators and attempters reported higher levels of negative urgency, a tendency to act impulsively upon negative emotions, and physical aggression compared to healthy controls. The results of the study indicated that people who act on their suicidal desires have a higher level of self-perception of acquired capability of suicide, and they tend to engage in planning activities using mental rehearsal strategies. These findings highlight the need for considering one’s planning behavior and perceived capability for suicide in suicide risk assessment and follow-up.

서비스 로봇산업의 경제적 파급효과

류성은,정인재 한국산업경영시스템학회 2023 한국산업경영시스템학회 학술대회 Vol.2023 No.춘계

도로 위험 탐지를 위한 데이터 편향성 최적화 기반 연관 추론 모델

류성은,김현진,구병국,권혜정,박찬홍,정경용,Ryu, Seong-Eun,Kim, Hyun-Jin,Koo, Byung-Kook,Kwon, Hye-Jeong,Park, Roy C.,Chung, Kyungyong 한국융합학회 2020 한국융합학회논문지 Vol.11 No.9

본 연구에서는 도로 위험 탐지를 위한 데이터 편향성 최적화 기반 연관 추론 모델을 제안한다. 이는 사용자의 개인적 특성과 주변 환경 데이터를 수집하고 교통사고 방지 서비스를 제공하기 위한 연관분석 기반의 마이닝 모델이다. 이는 다양한 상황 변수들로 구성된 트랜잭션 데이터를 생성한다. 생성된 정보를 바탕으로 연관 패턴 분석을 통해 각 트랜잭션 내 변수들의 유의미한 연관관계를 도출한다. 분류된 범주형 데이터의 편향성을 고려하여 최적화된 지지도 및 신뢰도 값으로 가지치기를 진행한다. 추출된 상위 연관규칙을 바탕으로 사용자에게 개인 특성과 주행 도로 상황에 대한 위험 탐지모델을 제공한다. 이는 데이터 편향성 문제를 극복하고 데이터간 연관성을 고려하여 잠재적인 도로 사고를 예방하는 교통 서비스가 가능하다. 성능 평가는 제안하는 방법이 정확도에서 0.778, Kappa 계수에서 0.743로 우수하게 평가된다. In this study, we propose an association inference model based on data bias optimization for road hazard detection. This is a mining model based on association analysis to collect user's personal characteristics and surrounding environment data and provide traffic accident prevention services. This creates transaction data composed of various context variables. Based on the generated information, a meaningful correlation of variables in each transaction is derived through correlation pattern analysis. Considering the bias of classified categorical data, pruning is performed with optimized support and reliability values. Based on the extracted high-level association rules, a risk detection model for personal characteristics and driving road conditions is provided to users. This enables traffic services that overcome the data bias problem and prevent potential road accidents by considering the association between data. In the performance evaluation, the proposed method is excellently evaluated as 0.778 in accuracy and 0.743 in the Kappa coefficient.

휴대전화 단말기 교체 예측을 위한 모바일 인터넷 행동 분석

류성일(Sungil Ryu),박선주(Sunju Park) 한국통신학회 2019 한국통신학회 학술대회논문집 Vol.2019 No.6

Hard-example Mining과 Augmentation 최적화를 이용한 위험 상황 탐지 및 소통 서비스

류성은(Ryu Seong Eun),구병국(Koo Byung Kook),성기승(Seong Ki Seung),강민정(Kang Mi Jung),김민지(Kim Min Ji) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.6

자녀와 부모간의 소통 부재 문제는 시간이 흘러갈수록 쉽게 해결되지 않는다. 또한 주거상의 물리적 차이로 인해 자녀는 부모의 위험 상황을 인지하기 힘들다 본 논문에서는 실내에서 발생할 수 있는 부모의 위험 상황 탐지와 스냅톡을 이용한 소통 증진 장려 애플리케이션을 제안한다. 이는 Hard-example mining과 Augmentation 정책 최적화를 사용한 딥러닝 기반의 학습 모델을 통해 위험 상황을 효과적으로 탐지한다. Firebased Cloud Messagingd을 이용하여 탐지된 위험 상황을 알리고 채팅 기능을 제공하는 애플리케이션 API 서버를 구축한다. 자녀는 간단한 사진 전송과 코멘트 기능을 제공하는 스냅톡 서비스를 통해 부모의 안전을 간단히 확인하고 소통을 위한 환경을 제공받는다. The problem of lack of communication between grown up child and parents is not easily solved over time. In addition, physical differences in housing make it difficult for grown up child to recognize the risk situation of their parents. In this paper, we propose an application that encourages communication enhancement using SnapTalk and detection of parental risk situations that can occur indoors. This effectively detects risk situations through deep learning-based learning models using hard-example mining and Augmentation policy optimization. We build application API server that informs detected risk situations and provides chat functionality using Firebase Cloud Messaging system. Grown up child is provided with an environment for simple verification and communication of their parents" safety through SnapTalk service, which provides simple photo transmission and commenting functions.

뉴스 기사의 정치적 성향 판단을 위한 지식 그래프 임베딩 기법의 효과 분석

류성은 ( Seongeun Ryu ),고윤용 ( Yunyong Ko ),김상욱 ( Sang-wook Kim ) 한국정보처리학회 2023 한국정보처리학회 학술대회논문집 Vol.30 No.1