• Title/Summary/Keyword: 자가진단

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건강테스트 : 안심하기는 금물! - '치매' 자가진단 테스트

  • 사단법인 한국당뇨협회
    • The Monthly Diabetes
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    • s.259
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    • pp.64-64
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    • 2011
  • 대표적인 노인성 질환인 치매는 뇌손상이 생겨 기억력이 감퇴되고 지능이 떨어져 일상생활을 예전처럼 잘 수행하지 못하게 되는 상태를 말한다. 치매를 노망 혹은 나이가 들면 자연히 생기는 병이라 생각하기 쉬운데, 치매도 조기에 치료하면 예방 가능한 질병이다.

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Association of Diagnostic Criteria and Autoantibodies with Juvenile Dermatomyositis in Newly Diagnosed Children (소아기 피부근염의 진단 기준과 자가항체의 진단적 의의)

  • Shin, Kyung Sue;Kim, Joong Gon
    • Clinical and Experimental Pediatrics
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    • v.46 no.9
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    • pp.898-902
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    • 2003
  • Purpose : To determine the clinical association of diagnostic criteria and the prevalence of autoantibodies in newly diagnosed children with juvenile dermatomyositis(JDM). Methods : Thirty-two children with JDM were identified at Seoul National University Children's Hospital from March 1985 to March 1999 by retrospective review. The diagnosis of JDM was based on the criteria proposed by Bohan and Peter. We investigated for the presence of several autoantibodies: antinuclear(ANA), double-stranded DNA, anti-Sm, anti-ribonucleoprotein(RNP), anti-SSA/ SSB, anti-Jo1, anti-Scl-70 antibodies and rheumatoid factor(RF). Results : Sex ratio and age at diagnosis were similar to data published in other studies. All the newly diagnosed children with JDM had a typical rash(100%) and proximal muscle weakness(100%); 17(53%) had muscle pain or tenderness; 10(31%) calcinosis; eight(25%) dysphagia; eight(25%) arthritis, and seven(22%) fever. Muscle enzymes were elevated in 90% of the patients. Of the 27 patients who had an electromyogram, 20(70%) had diagnostic results. Sixteen(70%) of biopsied patients had appropriated results for JDM. Patients were negative for all autoantibodies except ANA and RF. ANA and RF were detected in 47% and 7% of the patients respectively. Conclusion : Although the sensitivity of the criteria proposed by Bohan and Peter is superior, each of these criteria has possible confounding factors. Additional criteria may be needed for early diagnosis of JDM. Based on our findings of autoantibodies in JDM, we do not recommend routine testing for autoantibodies in children with typical JDM.

Self Disease Diagnosis System Using Enhanced ART2 Algorithm (개선된 ART2 알고리즘을 이용한 자가 질병 진단 시스템)

  • Kim, Kwang-Baek;Woo, Young-Woon;Kim, Ju-Sung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.11
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    • pp.2150-2157
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    • 2007
  • In this paper, we have proposed a self disease diagnosis system for ordinary persons to help the decision of access methods to a specialized medical management, and for medical specialities to discover new diseases and their symptoms easily, using verification of an individual#s health status by a series of processes performed by oneself. In the proposed self disease diagnosis system, illness is decided by 60 kinds of diseases selected using the report called #Diseases that Koreans take seriously# published by Ministry of Health & Welfare and medical contents called #Engel Pharm#, and also using 161 representative symptoms for the 60 kinds of diseases. An individual#s health information is extracted by diagnosis of one#s health status by a clustering of the 60 kinds of diseases using enhanced ART2 algorithm and input vectors from the results of questions for symptoms of each disease.

Development of Self-Diagnosis Linearity Quality Assurance Technique in Computed Tomography by Using Iodic Contrast Media (요오드 조영제를 이용한 전산화단층촬영장치의 자가진단 직선성 정도관리 기술 개발)

  • Seoung, Youl-Hun
    • The Journal of the Korea Contents Association
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    • v.15 no.5
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    • pp.436-443
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    • 2015
  • The purpose of this study was to develop a self-diagnostic linearity quality control techniques of computed tomography (CT) by using measured CT number values from the various concentrations of iodine contrast media (CM) is diluted with distilled water under each condition of the tube voltage. The equipment was used for four-channel MDCT, the iodine concentration were using 300 mgI/ml, 350 mgI/ml, 370 mgI/ml and 400mgI/ml. Dilution of CM in distilled water was increased by each 5% until the maximum CT number values were measured. We applied the tube voltages for 90 kVp, 120 kVp, 140 kVp. As a result, we was obtained to the nearest linearity as 0.993 of correlation coefficient between the iodinated CM from 5% to 25% in 400 mgI/ml and the CT number values by 90 kVp. In conclusion, the proposed self-diagnostic linearity quality assurance technique by using iodine CM can be utilized to replace the AAPM CT performance phantom.

Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data (수질 모니터링 데이터 기반의 수질센서 자가진단 알고리즘)

  • HongJoong Kim;Jong-Min Kim;Tae-Hyung Kang;Gab-Sang Ryu
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.41-47
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    • 2023
  • Today, due to the increase in global population growth, the international community is discussing solving the food problem. The aquaculture industry is emerging as an alternative to solving the food problem. For the innovative growth of the aquaculture industry, smart fish farms that combine the fourth industrial technology are recently being distributed, and full-cycle digitalization is being promoted. Water quality sensors, which are important in the aquaculture industry, are electrochemical portable sensors that check water quality individually and intermittently, making it impossible to analyze and manage water quality in real time. Recently, optically-based monitoring sensors have been developed and applied, but the reliability of monitoring data cannot be guaranteed because the state information of the water quality sensor is unknown. Therefore, this paper proposes an algorithm representing self-diagnosis status such as Failure, Out of Specification, Maintenance Required, and Check Function based on monitoring data collected by water quality sensors to ensure data reliability.

Bearing Fault Diagnosis using Adaptive Self-Tuning Support Vector Machine (적응적 자가 튜닝 서포트벡터머신을 이용한 베어링 고장 진단)

  • Kim, Jaeyoung;Kim, Jong-Myon;Choi, Byeong-Keun;Son, Seok-Man
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.19-20
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    • 2016
  • 본 논문에서는 서포트 벡터 머신 (SVM)의 분류 성능에 영향을 주는 인수인 C와 ${\sigma}$ 값을 적응적으로 최적화할 수 있는 적응적 자가튜닝 SVM을 이용한 베어링의 상태 진단 방법을 제안한다. SVM의 각 인수의 변화에 따른 베어링 상태 진단의 성능 변화 패턴을 분석하여 적합한 인수를 적응적으로 찾을 수 있는 방법을 제안하고, 제안한 방법의 우수성을 검증하기 위해 실제 베어링 신호를 이용하여 기존방법인 격자탐색과의 성능을 비교하였다.

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An Exploration of Career Competency Mobility Map (CCMM) Focusing on Engineering Students in K University (경력역량이동지도(CCMM) 적용사례 연구: K 대학을 중심으로)

  • Park, Jiwon;Woo, Heajung;Noh, Kyungwon;Yi, Yejih;Hwang, Seong-jun;Kim, Woocheol
    • Journal of Practical Engineering Education
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    • v.11 no.2
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    • pp.195-206
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    • 2019
  • Accelerated technological advances and the convergence of information and communication technologies have led to changes of career concepts from one of lifetime employment to that of lifetime career. Given the importance of continuous career development for workers these days, systematic supports for workers' career development at the national level is necessary. Accordingly, a conceptual model of career competency mobility map (CCMM) has been proposed to support the development of workers' career competencies. The purpose of this study is to identify key issues that we should consider for real implementation by applying to each stage of the CCMM conceptual model as a case study. Based on the procedure presented in the conceptual model, the research process which includes collecting user information, conducting self-diagnosis of NCS-based job competencies, deriving necessary training competency, offering the guidance of training programs and job information were conducted. The results of the case study showed our participants' scores of competencies required further development and ranged from 1.83 to 4.52. Sequentially, a personalized information profile was offered for competency development, including training, certificates, and job information. Participants stated that the diagnosis results and profiles were meaningful and helped to explore further career development. Based on the results, implications are suggested.

Comparative study of K-scale and the internet addiction diagnosis method using tolerance degree for internet use (K-척도와 인터넷 사용 내성정도를 이용한 인터넷 중독 진단 방법의 비교 연구)

  • Kim, Hee-Jae;Kim, Jong-Wan
    • The Journal of Korean Association of Computer Education
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    • v.15 no.2
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    • pp.47-55
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    • 2012
  • We discovered the fact that the most important factor for judging adults' internet addiction in the K-scale method which was developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items, is tolerance and preoccupation factor from the experiments by using data mining techniques. In this research, we propose a new internet addiction diagnostic method based on the degree of tolerance considering users' non-duty internet activities. From some questionnaire participants, their feedbacks for the K-scale and the proposed diagnostic method were collected, and then we confirmed that the proposed user-centered diagnostic method is effective to find undiscovered addicts due to individuals's intention in the K-scale.

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