• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.343-344
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• 2012

본 연구는 중증도가 높은 신경계중환자를 대상으로 중환자 중증도 분류도구와 Glasgow coma scale 적용의 유용성을 검정하고자 하는데 있다. 본 연구에서 대상자의 일반적 특성 및 임상 관련 특성에 따른 사망률 확인, 중환자 중증도 분류도구(CPSCS)의 일반적 특성, 임상관련 특성에 따른 중증도 차이, GCS의 일반적 특성과 임상관련 특성에 따른 중증도 차이를 파악하고, 임상적 유용성을 검정하고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.209-210
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• 2013

본 연구에서는 보건복지부에서 중증 응급환자를 위한 '중증질환별 특성화 센터'로 지정된 안양의 H병원에서 오토바이 사고로 인해 응급실을 내원하여 중증외상 환자로 분류된 환자를 대상으로 보건복지부 중앙응급의료센터에서 정한 중증외상 등록체계를 바탕으로 중증도를 분석하여 손상기전과 생존의 영향을 미치는 인자에 대하여 알아보고자 한다.

• Fire Science and Engineering
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• v.33 no.2
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• pp.139-144
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• 2019

The increase in the elderly population also increased the damage and deaths of the elderly drivers. However, studies on the severity and severity of the elderly driver are not actively conducted and the factors are unknown. In this study, I tried to find out the factors affecting the damage and severity of the elderly driver in the frontal collision and to utilize them additionally in the severity classification. Collision Deformation Classification (CDC) Code was used to check the extent of damage to the vehicle. Abbreviated Injury Scale (AIS) was used to determine the injury parts and severity of injury, and the Injury Severity Score (ISS) to confirm the severity of the patient. The odds ratios of severe injury patients were found to be 7.381 in the subjects with 5 or more deformation extent and the ${\beta}$ value of the deformation extent was 0.453 in the analysis of the severity by linear regression analysis. Therefore, the degree of deformation extent of 5 or more can be suggested as a criterion that can be used additionally to the severity classification in the elderly driver.

• Journal of the Society of Disaster Information
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• v.14 no.1
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• pp.28-35
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• 2018

The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system's algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application's severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.317-320
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• 2021

본 연구는 주기적인 알츠하이머 병의 중증도 모니터링을 위해 스마트 인솔을 통한 보행 특징 추출과 머신러닝 기반 중증도 분류의 성능에 대해 살펴보았다. 최근 고령화가 가속화되는 추세에 있어 치매 환자가 급증하고 있으며, 중증도가 심해질수록 필요한 치료 비용 및 노력이 급증하기 때문에 조기 진단이 최선의 치료 전략으로 보여진다. 환자 친화적이고 저비용의 관성 측정 장치가 내장된 스마트 인솔만을 사용하여 다양한 보행 실험 패러다임에서 환자의 보행 특징을 추출하고, 이를 알츠하이머 병의 중증도 진단을 위한 머신러닝 기반 분류기를 훈련시켜 성능을 평가한 결과, 숫자세기와 같이 뇌에 부하를 주는 하위 작업이 포함된 복합 보행을 측정한 데이터셋을 사용하여 훈련된 분류 모델이 일반 걷기 데이터셋을 사용한 모델보다 성능이 높게 나타나는 것이 관찰되었다. 본 연구는 안전하고 환경적 제약이 적은 방법을 사용하여 시기 적절한 진단뿐만 아니라 주기적인 중증도 모니터링 시스템의 일환으로 활용될 수 있을 것이다.

• Tuberculosis and Respiratory Diseases
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• v.49 no.5
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• pp.585-593
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• 2000

Background : International consensus guidelines have recently been developed to improve the assessment and management of asthma. One of the major recommendation of these guidelines is that asthma severity should be assessed through the recognition of key symptoms, such as nocturnal waking, medication requirements, and objective measurements of lung function. Differential classification of asthma severity would lead to major differences in both long term pharmacological management and the treatment of severe exacerbation. Methods : This study examined the relationship between the symptom score and measurements of $FEV_1$ and PEF when expressed as a percentage of predicted values in asthmatics (n=107). Results : The correlation of $FEV_1$ % with PEFR% was highly significant (r=0.83, p<0.01). However, there was agreement in terms of the classification of asthma severity in 76.6% of the paired measurements of $FEV_1$ % and PEFR%. Agreement in the classification of asthma severity was also found in 57.1% of the paired analysis of $FEV_1$ % and symptom score. 39% of the patients classified as having moderate asthma on the basis of $FEV_1$ % recording would be considered to have severe asthma if symptom score alone were used. Low baseline $FEV_1$ and high bronchial responsiveness were associated with a low degree of perception of airway obstruction. Conclusion : The relationships between the symptom score, PEFR and $FEV_1$ were generally poor. When assessing asthma severity, age, duration, $PC_{20}$, and baseline $FEV_1$ should be considered.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.371-384
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• 2013

The purpose of this study was to develop the risk-adjusted mortality model using Korean Hospital Discharge Injury data and US National Hospital Discharge Survey data and to suggest some ways to manage hospital mortality rates through comparison of Korea and United States Hospital Standardized Mortality Ratios(HSMR). This study used data mining techniques, decision tree and logistic regression, for developing Korea and United States risk-adjustment model of in-hospital mortality. By comparing Hospital Standardized Mortality Ratio(HSMR) with standardized variables, analysis shows the concrete differences between the two countries. While Korean Hospital Standardized Mortality Ratio(HSMR) is increasing every year(101.0 in 2006, 101.3 in 2007, 103.3 in 2008), HSMR appeared to be reduced in the United States(102.3 in 2006, 100.7 in 2007, 95.9 in 2008). Korean Hospital Standardized Mortality Ratios(HSMR) by hospital beds were higher than that of the United States. A two-aspect approach to management of hospital mortality rates is suggested; national and hospital levels. The government is to release Hospital Standardized Mortality Ratio(HSMR) of large hospitals and to offer consulting on effective hospital mortality management to small and medium hospitals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7148-7159
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• 2014

This study examined the relationship between the death perceptions and attitudes of the severely diseased persons in hospice facilities based on their general characteristics. The surveys were conducted from March 10 to July 31, 2013 on 149 patients at hospice facilities in ${\bigcirc}$ city, Gyeonggi-do. The data was analyzed by the SPSS WIN 18.0. First, positive death attitudes showed significant differences according to the patients' general characteristics (F=6.218, p<.001). Second, the patients' death attitudes by their death perceptions showed meaningful results (F=6.634, p<.001). Third, the death attitudes revealed a positive relation with hospice use (r=.496, p<.001). Overall, patients, who have positive death perceptions and attitudes, have high expectations for hospice use and these results support for welfare policies to encourage hospice use of severely diseased persons.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.66-68
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• 2012

본 논문에서는 자체 개발한 Java Platform 기반의 뇌파 분석 도구와 Android 기반의 Mobile 기기를 연계하여 중증 장애인의 상태 및 상황 등을 모니터링 할 수 있는 시스템을 제시한다. 제안된 시스템은 뇌파 측정기, 뇌파 분석 툴(PC Client) 그리고 Mobile 기기(Android)로 크게 3부분으로 구성된다. 뇌파 측정기로부터 수집된 원 주파수에서 저주파 대역의 잡음을 제거하기 위해 고주파 필터를 적용한 후, 적용된 데이터를 주파수 영역에서 분석하기 위해 FFT를 적용한다. FFT를 적용한 데이터를 Power Spectrum 분석 기법을 이용하여 Theta, Delta, Alpha, SMR, Beta 파형의 값을 추출하고, 14 채널의 뇌파 측정 위치에 따른 상관관계 분석기법을 통해 중증 장애인의 상태를 표현한다. 본 논문에서 제안한 방법으로 실험한 결과, 중증 장애인 모니터링 시스템에 효율적으로 적용되는 것을 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.244-252
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• 2018

This study examined the aging of people with severe disabilities experiencing relative alienation and deprivation in an aging society to find ways to make them happy and economically stable. This study identified the determinants of economic preparation for aging among people with severe disabilities using the ecosystem perspective. For this study, data were drawn from Panel Survey of Employment for the Disabled (PSED). A total of 950 samples were used from the eighth wave. Logistic regression analysis was conducted to examine the influence of various factors. As a result, age, level of education, employment, subjective socioeconomic status, self-esteem, income, homeowner, and non-beneficiaries affected the economic preparation for aging. These findings have practical and political implications concerned with improving the economic preparations for aging among people with severe disabilities.