• Title/Summary/Keyword: DIAGNOSIS

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Assesment and Diagnosis of Attention Deficit Hyperactivity Disorder(ADHD) - Focusing on Behavior Rating Scales - (주의력결핍과잉행동장애의 진단 및 평가 - 행동평정척도들을 중심으로 -)

  • Chang, Gyu-Tae;Han, Yun-Jeong
    • The Journal of Pediatrics of Korean Medicine
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    • v.20 no.2
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    • pp.147-175
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    • 2006
  • Objective : This study is to investigate the method for assesment and diagnosis of ADHD, especially focusing on behavior rating scales. Methods : We searched the recent date of the publication and paper in ADHD. Results : For Assesment and Diagnosis of ADHD, various method such as interview with parents, child and teacher, behavior observation, behavior rating scales and neuropsychological test are used. The structured interview consists of the restrictive questions and response, and then have diagnostic algorithm, consequently can be used by untrained clinicians. Of the structured interview, standardization of K-SADS in Korean version is finished. Behavior rating scales, the form of parent, teacher and self-report questionnaires, are used as diagnosis and treatment evaluation of ADHD. Behavior rating scales consist of both ADHD-specific scales and broad-band scales designed to screen for various symptoms (including ADHD symptoms). ADHD-specific scales are useful in differential diagnosis, discrimination of subtype, treatment evaluation, However, broad-band scales are useful in preliminary examination. The neuropsychological tests can evaluate attention deficit and effect of attention deficit on cognitive function and academic performance. The neuropsychological tests also used in diagnosis and treatment evaluation of ADHD. Conclusion : For Assesment and Diagnosis of ADHD, various method are used, especially behavior rating scales are both useful and simple tool for diagnosis and treatment evaluation.

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The Validity of Nursing Diagnosis in Rehabilitation Nursing (재활간호단위에 적용되는 간호진단의 타당도)

  • Kang, Hyun-Sook;Lim, Nan-Young;Suh, Moon-Ja;Kim, Kuem-Soon;Yang, Kwang-Hee;Lee, Myung-Hwa;Cho, Bok-Hee;Oh, Hye-Kyung
    • The Korean Journal of Rehabilitation Nursing
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    • v.2 no.1
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    • pp.45-60
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    • 1999
  • This study was conducted to investigate the nursing diagnosis applying to rehabilitation unit. The subject of this study was consisted of 101 nurses who have been working over 1 year in rehabilitation unit. The clssification of nursing diagnosis used NANDA's system and analysis of the validity was based on Fehring's model. In summury of this study. some dirrerences were found in related factors in nursing diagnosis between rehabilitation and general unit. Major related factors of nursing diagnosis were physical factors associated with neuromuscular disorder. Valid related factors in altered nutrition more than body requirements was not found for rehabilitation unit. It is helpful for the nurses who work at rehabilitation unit to apply the nursing diagnosis validated in this study. This finding can be used as the database for accomplished nursing diagnosis appropriate for improving the rehabilitation nursing practice.

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Development of Intelligent Fault Diagnosis System for CIM (CIM 구축을 위한 지능형 고장진단 시스템 개발)

  • Bae, Yong-Hwan;Oh, Sang-Yeob
    • Journal of the Korean Society of Industry Convergence
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    • v.7 no.2
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    • pp.199-205
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    • 2004
  • This paper describes the fault diagnosis method to order to construct CIM in complex system with hierarchical structure similar to human body structure. Complex system is divided into unit, item and component. For diagnosing this hierarchical complex system, it is necessary to implement a special neural network. Fault diagnosis system can forecast faults in a system and decide from the signal information of current machine state. Comparing with other diagnosis system for a single fault, the developed system deals with multiple fault diagnosis, comprising hierarchical neural network (HNN). HNN consists of four level neural network, i.e. first is fault symptom classification and second fault diagnosis for item, third is symptom classification and forth fault diagnosis for component. UNIX IPC is used for implementing HNN with multitasking and message transfer between processes in SUN workstation with X-Windows (Motif). We tested HNN at four units, seven items per unit, seven components per item in a complex system. Each one neural network represents a separate process in UNIX operating system, information exchanging and cooperating between each neural network was done by message queue.

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Study on Visible Diagnosis of Appearnce (망형태(望形態)에 대한 연구)

  • Kim Yong-Chan;Kang Jung-Soo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.19 no.6
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    • pp.1483-1490
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    • 2005
  • This study was written in order to help understanding of visible diagnosis of appearance(形). Visible diagnosis of appearance(形) is a very important factor of diagnosis and a first step of visible diagnosis. appearance(形) is closely connection with spirit(神), so is house of spirit(神). If we make a visible diagnosis of appearance(形), we know the prosperousness of energy and the relative seriousness of an illness. Spirit(神) is understood by appearances and movements of patient, and influenced by seasons, lands, human's relationship and the grade of age. By visible diagnosis of appearance(形), we can conclude existence or nonexistence of spirit(神), As comparing spirit(神) with appearance(形), we can decide good or bad prognoses. One man's own appearance(形) is determined by the five human type(五形人). There are very various points of changing form. As divided into principal groups, there are three main groups, that is, sky(天), earth(地) and man(人). The age and sex belong 治 the factor of sky(天), a direction and configuration of the ground(地形) belong to the factor of earth(地), the five human type(五形人) and white fatness(肥白) and black emaciation(黑瘦) belong to the factor of man(人).

Tongue of Fatigue by Classification of Sasang Constitution and Qi Blood Pattern Identification (특발성 피로의 사상체질 및 기혈변증 설진 분석)

  • Choi, Na-Rae;Park, Soo-Jung;Joo, Jong-Cheon;Kwon, Young-Mi
    • Journal of Sasang Constitutional Medicine
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    • v.27 no.4
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    • pp.379-387
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    • 2015
  • Objectives The purpose of this study was to investigate the relevance of Sasang constitution, Qi Blood pattern identification, and tongue diagnosis in subjects complaining of fatigue.Methods Seventy-three subjects who complained of fatigue were assessed using the Chalder Fatigue Scale, tongue diagnosis, pattern identification questionnaire and Sasang constitution diagnosis. The association of tongue diagnosis with Qi Blood pattern identification and Sasang constitution was evaluated.Results 1. There was no significant association between tongue diagnosis and Sasang constitution.2. Tongue color, which is one of the diagnostic indicators in tongue diagnosis, was redder in the Qi stagnation group than in the Qi deficiency and Blood deficiency groups.Conclusions Tongue diagnosis can be utilized in future if proper research regarding Sasang constitution and Sasang constitution pattern identification is conducted.

Aggressive unicystic ameloblastoma affecting the posterior mandible: late diagnosis during orthodontic treatment

  • Lopes, Sergio Lucio Pereira de Castro;Flores, Isadora Luana;Gamba, Thiago de Oliveira;Ferreira-Santos, Rivea Ines;Moraes, Mari Eli Leonelli de;Cabello, Aline Alvarez;Moutinho, Paula Nascimento
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.43 no.2
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    • pp.115-119
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    • 2017
  • Maxillofacial images must be examined to find pathologies not identified during clinical examination. Unicystic ameloblastoma (UA) extending to the mandibular body and ramus was neglected on initial panoramic radiographic examination. After orthodontic therapy, a huge lesion was observed clinically and through imaging exams. After the conservative surgery, no recurrence was observed during five years of follow-up. This case emphasized the need for careful evaluation of patient images focusing on the oral diagnosis before any dental treatment planning, including orthodontic therapy.

A study on the application and development direction of naval unit diagnosis system (해군 부대진단 제도의 적용과 발전방향에 대한 고찰)

  • Jang, Kyoung Sun;Lee, Yoou Kyung;Kwon, Pan Qum
    • Convergence Security Journal
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    • v.20 no.1
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    • pp.59-68
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    • 2020
  • The purpose of this study is to consider ways to stabilize the naval unit diagnosis system that has been implemented for five years. Check the historical process and theoretical background of the naval unit diagnosis system. This is to confirm the future direction of the naval unit diagnosis system research. Therefore, the importance of this system is confirmed and the direction of development is explained through application method. In particular, the study suggested the scientific development of analytical methods, the development of analytical programs, the development of leadership diagnostic programs, the increase of personnel in the unit diagnosis team, and the acquisition of expertise and reliability. In order for the naval unit diagnosis system to develop, internal and external continuous research is required.

A study on diagnosis method by chonguinyoung pulse(寸口人迎脈診) based on 《Youngchu·Kyoungmaek 靈樞·經脈》 (《영추(靈樞)·경맥(經脈)》의 촌구인영맥진(寸口人迎脈診)에 관(關)한 연구(硏究))

  • Sin, Kwang-Sun;Jang, Jun-Hyuk;Yoon, Jong-Hwa
    • Journal of Acupuncture Research
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    • v.19 no.1
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    • pp.203-209
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    • 2002
  • Objective : The chonguinyoung pulse diagnosis method is convenient than twelve meridian pulse diagnosis method The $\ll$Maek-bup(脉法)$\gg$ are founded at Mawangtweo(馬王堆) of the han dynasty tomb in 1973, but it could diagnosis the exsitance of illness of twelve meridian also . Methods : In accordance to $\ll$Naekuoung(內經)$\gg$ inyoungmaek(人迎脈) in could be taken at the which is the pulse point of carotid artery on the line of foot yangmyoung stomach meridian (足陽明胃經) and chongumaek (寸口脈) at the taeyoun acu-point (太淵穴) pulse point on the line of hand taeyeun lung meridian (手太陰肺經). Results : Chonguinyoung pulse diagnosis method could be emphased on the point of diagnosing sick person and healthy person by the balance of yin (陰) yan (陽) composition in the body. Conclusion : Chonguinyoung pulse diagnosis method could be the indication of improvement and progress of disease also it could be adapt to diagnosis of twelve meridian and it is impossible to making choice of acupuncture, medication, moxibustion, vene-section and strengthing-eleminating treatment method (補瀉方法).

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A Design of Expert Systems for Stroke in the Early Diagnosis (뇌졸중 초기 진단을 위한 전문가 시스템 설계)

  • 이주원;정원근;박성록;강익태;김영일;이건기
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.4
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    • pp.873-878
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    • 2004
  • An expert system for stroke diagnosis was designed in this study. The causes of stroke in the central nervous systems are very diverse, symptoms may not appear in the early stage, so diagnosis ran be difficult. Also, doctors who treats patients with stroke must have expert knowledge for the quick and correct impending diagnosis. Therefore, an expert system for assisting the impending diagnosis of stroke has needed to be developed. In addition, the diagnosis system can be used as an simulator for medical students who study neurology. In this study, and diagnosis expert system was developed. It serves a pathological data bus provided by an interface. An inference engine makes an impending diagnosis of stroke possible. We implemented the system using Windows2000 Server, IIS5.0 and ASP.

Alarm Diagnosis of RCP Monitoring System using Self Dynamic Neural Networks (자기 동적 신경망을 이용한 RCP 감시 시스템의 경보진단)

  • Yu, Dong-Wan;Kim, Dong-Hun;Seong, Seung-Hwan;Gu, In-Su;Park, Seong-Uk;Seo, Bo-Hyeok
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.9
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    • pp.512-519
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    • 2000
  • A Neural networks has been used for a expert system and fault diagnosis system. It is possible to nonlinear function mapping and parallel processing. Therefore It has been developing for a Diagnosis system of nuclear plower plant. In general Neural Networks is a static mapping but Dynamic Neural Network(DNN) is dynamic mapping.쪼두 a fault occur in system a state of system is changed with transient state. Because of a previous state signal is considered as a information DNN is better suited for diagnosis systems than static neural network. But a DNN has many weights so a real time implementation of diagnosis system is in need of a rapid network architecture. This paper presents a algorithm for RCP monitoring Alarm diagnosis system using Self Dynamic Neural Network(SDNN). SDNN has considerably fewer weights than a general DNN. Since there is no interlink among the hidden layer. The effectiveness of Alarm diagnosis system using the proposed algorithm is demonstrated by applying to RCP monitoring in Nuclear power plant.

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