• 제목/요약/키워드: classification of signs

검색결과 143건 처리시간 0.026초

지식결과에 대한 타당성 검증;간호결과분류(NOC)에 기초하여 (Validation of Nursing-sensitive Patient Outcomes;Focused on Knowledge outcomes)

  • 염영희;이규은
    • 간호행정학회지
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    • 제6권3호
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    • pp.357-374
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    • 2000
  • The purpose of this study was to validate knowledge outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follow: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Knowledge: Treatment Regimen' attained and OCV score of 0.816 and was the highest OCV score among outcomes. 3. 'Knowledge: Energy Conservation' attained an OCV score of 0.748 and was the lowest OCV score among abuse outcomes. 4. 'Knowledge: Breastfeeding' attained an OCV score of 0.790 and was the highest indicator was 'description of benefits of breastfeeding'. 5. 'Knowledge: Child Safety' attained an OCV score of 0.778 and was the highest indicator was 'demonstration of first aids techniques'. 6. 'Knowledge: Diet' attained an OCV score of 0.779 and was the highest indicator was 'performance of self-monitoring activities'. 7. 'Knowledge: Disease Process' attained an OCV score of 0.815 and was the highest indicator was 'description of signs and symptoms'. 8. 'Knowledge: Health Behaviors' attained an OCV score of 0.800 and was the highest indicator was 'description of safe use of prescription drugs'. 9. 'Knowledge: Health Resources' attained an OCV score of 0.794 and was the highest indicator was 'description of need for follow-up care'. 10. 'Knowledge: Infection Control' attained an OCV score of 0.793 and was the highest indicator was 'description of signs and symptoms'. 11. 'Knowledge: Medication' attained an OCV score of 0.789 and was the highest indicator was 'description of correct administration of medication'. 12. 'Knowledge: Personal Safety' attained an OCV score of 0.804 and was the highest indicator was 'description of measures to reduce risk of accidental injury'. 13. 'Knowledge: Prescribed Activity' attained an OCV score of 0.810 and was the highest indicator was 'proper performance of exercise'. 14. 'Knowledge: Substance Use Control' attained an OCV score of 0.809 and was the highest indicator was 'description of signs of dependence during substance withdrawl'. 15. 'Knowledge: Treatment Procedure(s)' attained an OCV score of 0.795 and was the highest indicator was 'description of appropriate action for complications'. 16. 'Knowledge: Treatment Regimen' attained an OCV score of 0.816 and was the highest indicator was 'description of self-care responsibilities for emergency situations'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

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두통을 주소증으로 하여 입원한 환자 120예에 대한 임상적 고찰 (A Clinical Study of One Hundred Twenty Patients Admitted with Headache)

  • 권경만;김광록;신윤리;박선영;박동일
    • Korean Journal of Acupuncture
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    • 제29권4호
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    • pp.643-661
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    • 2012
  • Objectives : The Purpose of this study is to investigate clinical characteristics with 120 patients who have sufferred from headache and were treated. Methods : We classified 120 patients into several groups by International Headache Society(IHS) classification and evaluated the effects of oriental medical therapy on headache. Results : 1. According to the statistics, women patients were more than men. And 50s has highest number of headache patients. 2. In classification by IHS, tension type headache were highest. 3. 24.2% of patients had entered Department of Internal Medicine, Colleage of Oriental Medicine Dongeui Univ for treatment within six month of onset. 4. According to the statistics, headache of whole part has highest number of headache patients. 5. The most number of associated symptoms were nausea, vomiting, dyspepsia etc. 6. The most number of headache patient's past history were hypertension. 7. In classification by oriental medical differentiation of symptom and signs, the rate of blood deficiency were highest. 8. 64.2% of patients said they were satisfied with treatment, reporting half the frequency of headache or better from before treatment. Conclusions : In conclusion, the present results suggest that oriental medical therapy has effects on headache.

1D CNN 알고리즘 기반의 가속도 데이터를 이용한 머시닝 센터의 고장 분류 기법 연구 (A Study on Fault Classification of Machining Center using Acceleration Data Based on 1D CNN Algorithm)

  • 김지욱;장진석;양민석;강지헌;김건우;조용재;이재욱
    • 한국기계가공학회지
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    • 제18권9호
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    • pp.29-35
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    • 2019
  • The structure of the machinery industry due to the 4th industrial revolution is changing from precision and durability to intelligent and smart machinery through sensing and interconnection(IoT). There is a growing need for research on prognostics and health management(PHM) that can prevent abnormalities in processing machines and accurately predict and diagnose conditions. PHM is a technology that monitors the condition of a mechanical system, diagnoses signs of failure, and predicts the remaining life of the object. In this study, the vibration generated during machining is measured and a classification algorithm for normal and fault signals is developed. Arbitrary fault signal is collected by changing the conditions of un stable supply cutting oil and fixing jig. The signal processing is performed to apply the measured signal to the learning model. The sampling rate is changed for high speed operation and performed machine learning using raw signal without FFT. The fault classification algorithm for 1D convolution neural network composed of 2 convolution layers is developed.

백부자-대체 가능 한약재의 계종버섯에 대한 급성독성시험과 안전성등급화 (Acute toxicity test and safety classification for Termitomyces albuminosus containing pharmacologically similar ingredient of Aconitum koreanum)

  • 안민지;박영철
    • 대한본초학회지
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    • 제32권4호
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    • pp.33-38
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    • 2017
  • Objectives : Termitomyces albuminosus (Berk.) Heim is one of the famous wild edible mushrooms in the southern part of China. It is known that Termitomyces albuminosus, like Aconitum koreanum used in Korean traditional medicine, contains a kind of cerebroside, termitomycesphin, causing a pharmacologic effect on the neuron system. The pharmacologic effect of Termitomyces albuminosus can be used to possibly replace Aconitum koreanum. However, It needs to be certified as safe before it can be used. Here, a single-oral toxicity test and safety classification was conducted to obtain acute information of the toxicity of dried-Termitomyces albuminosus powder and to secure its safety in clinical applications. Methods : In order to calculate approximate lethal dose(ALD), test substance was orally administered to male and female SD-rat at dose levels of 5,000 and 0 (vehicle control) mg/kg (body weight). Based on the result of this toxicity, also the estimation of safety classification was calculated using the HED-based (human equivalent dose) MOS (margin of safety). Results : There were no mortalities, test substances treatment-related clinical signs, no changes in the body or organ weights, and no gross or histopathological findings at 14 days after treatment with test substance. Thus, the approximate lethal dose of dried-Termitomyces albuminosus powder was considered over 5,000 mg/kg in both female and male mice. Conclusions : Based on the limit dose, 5000 mg/kg, it was estimated that dried-Termitomyces albuminosus powder is classified as "Specified class B" indicating that clinical dose is not limited to patients as safe as food.

Classification of behavioral signs of the mares for prediction of the pre-foaling period

  • Jung, Youngwook;Jung, Heejun;Jang, Yongseok;Yoon, Duhak;Yoon, Minjung
    • 한국동물생명공학회지
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    • 제36권2호
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    • pp.99-105
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    • 2021
  • In horse management, the alarm system with sensors in the foaling period enables the breeder can appropriately prepare the time of the parturition. It is important to prevent losses by unpredictable parturition because there are several high risks such as dystocia and the death of foals and mares during foaling. However, unlike analysis in the alarm system that detects specific motions has been widely performed, analysis of classification following specific behavior patterns or number needs to be more organized. Thus, the objective of this study is to classify signs of the specific behaviors of the mares for the prediction of pre-foaling behaviors. Five Thoroughbred mares (9-20 yrs) were randomly selected for observation of the pre-foaling behaviors. The behaviors were monitored for 90 min that was divided into three different periods as 1) from -90 to -60 min, 2) from -60 to -30 min, 3) from -30 min to the time for the discharge of the amniotic fluid, respectively. The behaviors were divided into two different categories as state and frequent behaviors and each specific behavioral pattern for classification was individually described. In the state behaviors, the number of mares in the standing of the foaling group (3.17 ± 0.18b) at period 3 was significantly higher than the control group (1.67 ± 0.46a). In contrast, the number of the mares in the eating of the foaling group (1.17 ± 0.34b) at period 3 was significantly lower than the control group (3.33 ± 0.46a). In the frequent behaviors, the weaving of the foaling group was significantly higher than the control group, and looking at the belly of the foaling group was significantly lower than the control group. In period 2, defecation, weaving, and lowering the head of the foaling group were significantly higher than the control group, respectively. In period 3, sitting down and standing up, pawing, weaving, and lowering the head in the foaling group were also significantly higher than the control group. In conclusion, the behavior is significantly different in foaling periods, and the prediction of foaling may be feasible by the detection of the pre-foaling behaviors in the mares.

두신지수별 정면체형과 인체비례 모듈러 연구 -한국 성인남성 20~30대를 대상으로- (Anterior Somatotype and Body Proportion Modulor by Head Ratio -For 20s-30s Korean Male-)

  • 정선영;남윤자
    • 한국의류학회지
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    • 제39권2호
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    • pp.217-232
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    • 2015
  • Clothing design considers the concept of human body proportions. This paper proposes an anterior somatotype and body proportion modular by head ratio for 20s to 30s Korean males. Anterior somatotype is classified into 18-types with 13 ratios that consist of 7 heights and 6 widths divided by stature. A total of 18-types are expressed in numerical values that represent the percentage of the stature and geometrical figures represented on the grids one unit is 1% of the stature. The torso is divided by 6 modules that are side neck to shoulder, shoulder to axillary, axillary to waist, waist to navel, navel to hip, and hip to crotch. Head and leg can be estimated as numerical information of stature and torso. Morphological characteristics of anterior somatotype are analyzed by 4 factors based on results and 18-types named by simple signs. We develop a new classification of anterior somatotype that integrate vertical and horizontal characters of body proportions. The use of integrated classification in the clothing industry is expected to increase the clothing fit.

Turner증후군 환자의 세포유전학적 연구 (Cytogenetic Studies of Turner Syndrome)

  • 정성로
    • Clinical and Experimental Reproductive Medicine
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    • 제19권1호
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    • pp.95-101
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    • 1992
  • During the years 1983 to 1991, cytogenetic analysis was performed on 19 women with Turner syndrome in order to find out the incidence of symptoms and signs according to the classification of chromosome abnormalities. 1. All of them showed short stature and the mean height in 7 adults was $140.71{\pm}5.26cm$. 2. Among the 19 patients with Turner syndrome, 7 (36.8%) had 45, XO karyotype, 7 (36.8%) had 46, Xi (Xq), and remained 5 (26.3%) had mosaicism. 3. Five patients with mosaicism had 45, X/46, XX (2), 45, X/46, Xi (Xq) (2) and 45, X/47, XXX (1), respectively. 4. Patients with 45, XO and 46, Xi (Xq) had amenorrhea, whereas only 33% (1/3) of patients with mosaicism had amenorrhea. Total incidence of amenorrhea was 84.6% (11/13). 5. Abnormal external genitalia was detected in 63.6% of patients. The incidence of abnormality in patients with mosaicism was lower than that of other groups. 6. OMPC and deafness were detected in 3 of 19 patients. 7. Two cases of cardiovascular abnormalities were found in patients with 45, XO. This study suggests that gnenetic counselling according to the classification of chromosomal abnormalities could be needed in patients with Turner syndrome.

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병원간호사회 중환자 중증도 분류도구 준거 타당도 검정: 뇌손상 환자를 대상으로 (Criterion-Related Validity of the Critical Patients' Severity Classification System Developed by the Hospital Nurses' Association)

  • 오현수;서화숙;박종숙;배은경;이수진;정윤예;최영은;최희정
    • 성인간호학회지
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    • 제21권5호
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    • pp.489-503
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    • 2009
  • Purpose: This study was conducted to test criterion-related validity of the Critical Patients' Severity Classification System (CPSCS) developed by the Hospital Nurses' Association by examining relationships with brain injury severity measured by Glasgow Coma Scale (GCS), recovery state measured by Glasgow Outcome Scale (GOS), and days of stay in ICU of brain injury patients. Methods: Prospective correlational research design was adopted by including 194 brain injury patients admitted to ICU of one university hospital. Results: The score of CPSCS appeared to significantly discriminate the severity of brain injury. Among nursing activities in CPSCS, Respiratory therapy, IV Infusion and Medication, Monitoring, Activities of Daily Living (ADL), Treatment and Procedure were significant to discriminate the severity of brain injury. Respiratory therapy, Vital Signs, and Monitoring appeared to significantly discriminate the recovery states of 1- and 3-months. Nursing activities significantly contributed to predict the days of ICU stay were Respiratory therapy, ADL, and Teaching and Emotional Support. Conclusion: CPSCS developed by the Hospital Nurses Association appeared to be valid to discriminate or predict brain injury severity, recovery states, and days of stay in ICU for brain injury patients.

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Detection of Depression Trends in Literary Cyber Writers Using Sentiment Analysis and Machine Learning

  • Faiza Nasir;Haseeb Ahmad;CM Nadeem Faisal;Qaisar Abbas;Mubarak Albathan;Ayyaz Hussain
    • International Journal of Computer Science & Network Security
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    • 제23권3호
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    • pp.67-80
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    • 2023
  • Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.

폐혈관염의 영상의학적 접근 (Radiologic Approach for Pulmonary Vasculitis)

  • 김초희;김윤경;한정호
    • 대한영상의학회지
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    • 제82권4호
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    • pp.791-807
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    • 2021
  • 혈관염은 혈관벽의 염증을 특징으로 하는 드문 전신 질환으로 간혹 미만성 폐출혈이나 급성사구체신염으로 생명을 위협하기도 한다. 원인을 알 수 없는 일차성 혈관염도 있지만 자가면역 질환이나 약물, 감염, 종양 등 수많은 원인들에 의해 발생하는 이차성 혈관염도 있으며 분류가 복잡하고 명확한 진단검사가 없어 진단에 어려움이 있다. 또한 다양하고 비특이적인 증상과 징후 및 검사 소견을 보여 혈관염의 진단에는 임상양상, 영상 검사, 자가항체 검사, 병리소견 등 여러 가지 결과를 종합하는 것이 필수적이다. 이 종설에서는 혈관염의 분류와 진단에 중요한 증상 및 징후, 특징적으로 폐를 침범하는 대표적인 폐혈관염의 영상 소견과 감별진단, 그리고 새로운 혈관염 분류를 위한 국제적 연구인 Diagnostic and Classification Criteria in Vasculitis에 대해 소개하고자 한다.