• 가정간호학회지
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• 제8권1호
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• pp.25-37
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• 2001

Spinal cord injury patients need rehabilitation after the acute stage. They should be cared for at home to decrease hospitalization. Home care nurses play an important role in making spinal cord injury patients who have physical. and psychosocial problems do their best. For effective care, home care nurses need standardized nursing intervention protocols for spinal cord injury patients, but they are rarely developed. Therefore, this study was conducted to develop home care nursing protocols, based on NIC, that are applicable to spinal cord injury patients at home. Forty home care nursing charts of spinal cord injury patients registered in a home care nursing agency from July 1st, 1994 to August 31st, 1999 in S city were analyzed. Fifteen home care nurses participated in this study as a user validity validation group, The results of this study are as follows. 1. Fifteen nursing diagnoses were classified through the frequency analysis of home care nursing charts and previous literature for 40 spinal cord injury patients: altered urinary elimination, constipation, high risk for impaired skin integrity, chronic pain, impaired skin integrity, impaired social interaction, knowledge deficit, bowel incontinence, high risk for injury, altered role performance, care giver role strain, impaired physical mobility, sexual dysfunction, dysreflexia, and ineffective breathing pattern. 2. Based on validation by experts and user validities, 93 nursing interventions which were above ICV(Index of Content Validity) .80 were chosen. 3. Nursing intervention protocols which showed above ICV .80 were developed.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.420-426
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• 2022

Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.

• Journal of Chest Surgery
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• 제30권11호
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• pp.1062-1068
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• 1997

1989년 8월부터 1996년 1월까지 세종병원 흉부외과에서는, 단일심실성 교정을 요하는 환자에 대하여 중간 단계의 수술적 치료로서 양방향성 Glenn수술을 총 105례에서 시행하였으며, 이들에 대한 최종단계의 Fontal 수술을 1992년 12월부터 시행하기 시작하여 1996년 2월까지 총 42례에서 양방향성 Glenn수술로부터의 Fontal 전환술을 시행하였다. 진단으로는 단일심실증이 19례, 삼천판막폐쇄증이 11례, 양대혈관우심실기시증류가 9례, 기타 3례였다. 이들의 양방향성 Glenn수술의 시기는 환자연령 2개월에서 8세까지로 중앙연령 값이 12.5개 월이었으며, Fontan 전환술의 시기는 환자연령 1세 5개월부터 9세 7개월까지로 중앙연령 값이 59.6 개월이었다. 두 수술단계 사이의 대기기간은 10개월에서 6년 3개월까지로 평균 33.88+17.85 개월이었다. 두 수술 사이의 기간 동안 18례에서 임상적으로 의미있는 체-폐동맥간 혹은 체-폐정맥간 부행혈관이 발생하였다. Fontan 전환술의 수술방법으로는 대부분의 경우 Gore-Tex도관포편을 이용한 측면 Tunneling을 하였으며 2.5~6 mm 크기의 fenestration을 만들었다. 수술 후 병원 사망례는 5례였으며, 사망원인은 4례에\ulcorner 저심장박출증, 떼는 폐혈증이었다. 만기 사망례는 5례였으며 수술 후 6 개월에서 2년 후에 발생하였는데, 중요 원인은 혈전증 1례, Fontan failure 에 의한 심장이식후 사망 떼, Protein Loosing Enteropathy 1례, Plastic Bronchitis 1례, 그리고 폐렴 1례 등이다. 그외의 생존환자들은 수술후 7개월에서 4년 2개월까지 평균 21.97$\pm$10.82개월 동안 추적 결과 양호한 상태를 보이고 있다. 양방향성 Glenn수술후 Fontan 전환술 사이의 기간을 2년을 기준으로 나누었 을 때, 2년 이내에 Fontal 전환술을 시행한 군(12례)이 그 이후의 시행군(21례)과 비교하여 더 좋은 결과를 보였다. 즉 병원사망률 1/16 대 4/26, 만기사망률 1/16 대 4/26,부행혈관의 발생률 2/16 대 16/26(P<0.05) 이었다. 결론적으로 Fontan수술의 위험요소가 있는 단일심실성 교정수술 대상의 환자에 있어서 양방향성 Glenn수술 단계 후, 연령 등의 원래의 위험요소의 재평가후에 Fontan 전환술의 시기는 2년 내에 시행하는 것이 좋으리라 사료된다.

• 대한한의진단학회지
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• 제19권2호
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• pp.91-100
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• 2015

Objectives The aim of this study is to develop a structured clinical protocol related with acquisition of radial pulse wave in the randomized, $2{\times}2$ cross-over design, and cold-heat intervention trial for a pilot and preliminary study. Methods The protocol was contrived based on wide ranging literature searches for cold-heat intervention experiments and radial pulse diagnoses. Results Sample size of 60 subjects was calculated based on an effect size derived from the previous study designed to detect the pre-post cold-heat differences in the radial pulse. Each subjects will be randomly assigned to the cold (first) to heat (last) group (n=30) or heat (first) to cold (last) group (n=30). All subjects will fill out a case report form and questionnaires related with pattern identification, dietary patterns, sleep quality, and physical activity will be surveyed and used as a secondary outcomes. Safety assessment will be reported at the final stage. Conclusions This protocol will provide an additional reference to future studies related with observation of radial pulse during any interventions and also expect to be used as a guideline for acquisition of reliable radial pulse wave data.

• 대한심미치과학회지
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• 제23권1호
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• pp.41-54
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• 2014

심미란 단어가 우리에게 친숙한지 20여년이 흐른 지금도 새로운 것에 도전하듯이 어려움을 가져다주는 것은 아마도 진화라기보다는 기본적인 로드맵이 안 되어 있어서 아직도 서툴고 회피하는 것은 아닌지 싶다. 보철마다 특성상 장점과 단점이 있는 것이기에 그 적응증을 숙지하고 그에 맞는 진단과 적절한 선처치가 될 때 기대할만한 결과를 얻을 것이다. 이 과정에 환자에 대한 정보공유와 치과의사와 치과기공사간의 소통과 전문화된 각자의 역할은 매우 중요한 치료과정이며 이 통로를 얼마큼 잘 제도화 시켰느냐가 심미기공물의 성패가 달려 있다고 보아도 과언 이 아닐 것이다. 위의 서술한 치료과정의 바탕으로 가장 장점이 많고 보존적의미가 있는 라미네이트 심미보철에 관해 살펴보고자 한다.

• 한국전문물리치료학회지
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• 제29권4호
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• pp.282-288
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• 2022

Background: Pilates exercises are used for body shape correction because they can achieve correct posture alignment through spinal stabilization. Objects: This study aimed to determine whether the use of reformers increases the effectiveness of Pilates core exercises on body alignment in standing. Methods: The study included 30 women without known diagnoses of musculoskeletal and neurological disorders or cancer. Those who had taken more than 10 Pilates lessons were excluded. The participants were randomly assigned to either the reformer exercise group or the mat exercise group, and interventional Pilates exercises were performed for 60 minutes a day, three times a week, for a total of 8 weeks. Ten movements of the reformer and mat Pilates core exercise programs were included. Exbody^® 9100 MOMI musculoskeletal analysis equipment (Exbody Inc.) was used to assess the alignment of the standing posture in the frontal plane. Results: As a result of comparing the differences within and between the groups before and after the intervention using the two-way mixed analysis of variance test, height differences in the head, pelvis, left and right, shoulders, scapulas, knees, and ankles in the frontal plane after the intervention were found in both groups. For example, the left-right symmetry of the body alignment in the standing posture was significantly improved within each group (p < 0.05). However, no significant difference was found between the groups (p > 0.05). Conclusion: Both the reformer and mat Pilates core exercises were effective for standing posture alignment, which has clinical significance. If an exercise program is developed based on the analysis of movements necessary for posture improvement and the target muscles to be strengthened, the same effect can be achieved only with mat exercise without using the reformer equipment at the beginner stage.

• Design & Manufacturing
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• 제16권4호
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• pp.52-59
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• 2022

Currently, Korea is an aging society and is expected to become a super-aged society in about four years. X-ray devices are widely used for early diagnosis in hospitals, and many X-ray technologies are being developed. The development of X-ray device technology is important, but it is also important to increase the reliability of the device through accurate data management. Sensor nodes such as temperature, voltage, and current of the diagnosis device may malfunction or transmit inaccurate data due to various causes such as failure or power outage. Therefore, in this study, the temperature, tube voltage, and tube current data related to each sensor and detection circuit of the diagnostic X-ray imaging device were measured and analyzed. Based on QC data, device failure prediction and diagnosis algorithms were designed and performed. The fault diagnosis algorithm can configure a simulator capable of setting user parameter values, displaying sensor output graphs, and displaying signs of sensor abnormalities, and can check the detection results when each sensor is operating normally and when the sensor is abnormal. It is judged that efficient device management and diagnosis is possible because it monitors abnormal data values (temperature, voltage, current) in real time and automatically diagnoses failures by feeding back the abnormal values detected at each stage. Although this algorithm cannot predict all failures related to temperature, voltage, and current of diagnostic X-ray imaging devices, it can detect temperature rise, bouncing values, device physical limits, input/output values, and radiation-related anomalies. exposure. If a value exceeding the maximum variation value of each data occurs, it is judged that it will be possible to check and respond in preparation for device failure. If a device's sensor fails, unexpected accidents may occur, increasing costs and risks, and regular maintenance cannot cope with all errors or failures. Therefore, since real-time maintenance through continuous data monitoring is possible, reliability improvement, maintenance cost reduction, and efficient management of equipment are expected to be possible.

• Advances in nano research
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• 제15권5호
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• pp.451-466
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• 2023

Gastrointestinal cancer (GC) is a prevalent malignant tumor of the digestive system that poses a severe health risk to humans. Due to the specific organ structure of the gastrointestinal system, both endoscopic and MRI diagnoses of GIC have limited sensitivity. The primary factors influencing curative efficacy in GIC patients are drug inefficacy and high recurrence rates in surgical and pharmacological therapy. Due to its unique optical features, good biocompatibility, surface effects, and small size effects, nanotechnology is a developing and advanced area of study for the detection and treatment of cancer. Because of its deep location and complex surgery, diagnosing and treating gastrointestinal cancer is very difficult. The early diagnosis and urgent treatment of gastrointestinal illness are enabled by nanotechnology. As diagnostic and therapeutic tools, nanoparticles directly target tumor cells, allowing their detection and removal. XGBoost was used as a classification method known for achieving numerous winning solutions in data analysis competitions, to capture nonlinear relations among many input variables and outcomes using the boosting approach to machine learning. The research sample included 300 GC patients, comprising 190 males (72.2% of the sample) and 110 women (27.8%). Using convolutional neural networks (CNN) and artificial neural networks (ANN)-EXtreme Gradient Boosting (XGBoost), the patients mean± SD age was 50.42 ± 13.06. High-risk behaviors (P = 0.070), age at diagnosis (P = 0.037), distant metastasis (P = 0.004), and tumor stage (P = 0.015) were shown to have a statistically significant link with GC patient survival. AUC was 0.92, sensitivity was 81.5%, specificity was 90.5%, and accuracy was 84.7 when analyzing stomach picture.

• 비교교육연구
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• 제18권4호
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• pp.1-26
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• 2008

이 연구는 비교교육학의 개념과 중요성을 살펴보고, 우리나라 비교교육학의 역사와 발전과정, 그리고 현재 대학에서 이루어지고 있는 비교교육학의 현황과 실태를 연구하고자 하였다. 우리나라의 비교교육학은 다른 교육학의 세부전공들과 비교하여 나름대로 독자적인 학문분야로서의 정체성을 확립한지 그리 오래되지 않았기 때문에 아직도 대학에서 독립적인 전공분야로 자리매김하고 있지는 않으나, 최근 국제화 추세와 더불어 외국교육과 관련된 다양한 분야, 예컨대 외국의 교육제도, 교육정책, 교육개혁 동향 등에 대한 관심이 증대되면서 비교교육학의 학문적 중요성과 그 활용이 강조되고 있다. 이에 동 연구는 우리나라 대학에서의 비교교육학 교육현황에 대한 전반적 실태를 알아보기 위하여 첫째, 한국대학에서의 비교교육학 발전과정을 살펴보고, 둘째, 한국 대학에서의 비교교육학 교육현황을 조사하였다. 현황 조사는 다음과 같은 다섯 항목 1) 4년제 대학 중 비교교육 관련 강좌를 제공하는 대학(수), 2) 비교교육 관련 강좌의 수업목표, 3) 커리큘럼 및 강좌명, 4) 강의 방법과 교재현황, 5) 한국대학의 비교교육 강좌와 관련된 문제점 및 제언 등으로 나누어, 전국 4년제 대학을 대상으로 설문과 인터뷰 조사를 실시하였다. 이와 더불어, 한국 비교교육학의 실태에 대한 외국과의 비교분석을 위하여 외국 대학들의 비교교육학 발전과정과 교육동향을 문헌연구를 통해 알아보았다. 동연구는 우리나라 대학 비교교육학 교육현황에 대한 첫 조사연구로서, 대학에서의 비교교육학 강좌의 필요성과 중요성에 대한 재확인과 함께 외국 대학의 비교교육학 발전현황에 대한 탐색을 통하여 우리나라 비교교육학의 발전 방향에 대한 시사점을 얻고자 하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권4호
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• pp.1311-1315
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• 2012

Objectives: Thrombotic risk is increased in patients with cancer and there are important implications for those who suffer a venous thromboembolism (VTE). We undertook this study to determine the frequency, clinical patterns, and outcome of VTE in Saudi patients with cancer. Methods: Cancer (solid tumors and lymphoma) patients who developed VTE from January 2004 to January 2009 were studied retrospectively. Demographics and clinical characteristics related to thrombosis and cancer were evaluated. Results: A total of 701 patients with cancer were seen during the study period. VTE was diagnosed in 47 (6.7%) patients (median age 52, range 18-80 years). Lower limb DVT was the most common type, seen in 47% patients, followed by PE in 19%, and 19% patients had both DVT & PE. Thrombosis was symptomatic in 72% patients while it was an incidental finding on routine workup in 28%. Cancer and VTE were diagnosed at the same time in 38% of patients, and 47% patients developed VTE during the course of disease after the cancer diagnosis. The majority of VTE post cancer diagnoses occurred during the first year (median 4 months, range 1-14). Additional risk factors for VTE were present in 22 (47%) patients and 14 (30%) of these patients were receiving chemotherapy at the time of thrombosis. Only 5 (10.6%) patients were receiving thrombo-prophylaxis at the time of VTE diagnosis. Most common types of tumors associated with thrombosis were breast cancer, non-Hodgkin's lymphoma and lung cancer. The majority of the affected patients (79%) had advanced stage of cancer. After a median follow-up of 13 (range 0.5-60) months, 38 (81%) patients had died. There was no difference in the mortality of patients with symptomatic or asymptomatic thrombosis (82% vs 78.6%). Conclusions: Thrombotic complications can develop in a significant number of patients with cancer, and almost half of the patients have additional risk factors for VTE. Thrombosis is usually associated with advanced disease and can be asymptomatic in more than a quarter of cases. Thromboprophylaxis in cancer patients is under-utilized. Community based studies are needed to accurately define the extent of this problem and to develop effective prophylactic strategies.