• Title/Summary/Keyword: Outcome Indicators

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Inferring Pedestrian Level of Service for Pathways through Electrodermal Activity Monitoring

  • Lee, Heejung;Hwang, Sungjoo
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1247-1248
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    • 2022
  • Due to rapid urbanization and population growth, it has become crucial to analyze the various volumes and characteristics of pedestrian pathways to understand the capacity and level of service (LOS) for pathways to promote a better walking environment. Different indicators have been developed to measure pedestrian volume. The pedestrian level of service (PLOS), tailored to analyze pedestrian pathways based on the concept of the LOS in transportation in the Highway Capacity Manual, has been widely used. PLOS is a measurement concept used to assess the quality of pedestrian facilities, from grade A (best condition) to grade F (worst condition), based on the flow rate, average speed, occupied space, and other parameters. Since the original PLOS approach has been criticized for producing idealistic results, several modified versions of PLOS have also been developed. One of these modified versions is perceived PLOS, which measures the LOS for pathways by considering pedestrians' awareness levels. However, this method relies on survey-based measurements, making it difficult to continuously deploy the technique to all the pathways. To measure PLOS more quantitatively and continuously, researchers have adopted computer vision technologies to automatically assess pedestrian flows and PLOS from CCTV videos. However, there are drawbacks even with this method because CCTVs cannot be installed everywhere, e.g., in alleyways. Recently, a technique to monitor bio-signals, such as electrodermal activity (EDA), through wearable sensors that can measure physiological responses to external stimuli (e.g., when another pedestrian passes), has gained popularity. It has the potential to continuously measure perceived PLOS. In their previous experiment, the authors of this study found that there were many significant EDA responses in crowded places when other pedestrians acting as external stimuli passed by. Therefore, we hypothesized that the EDA responses would be significantly higher in places where relatively more dynamic objects pass, i.e., in crowded areas with low PLOS levels (e.g., level F). To this end, the authors conducted an experiment to confirm the validity of EDA in inferring the perceived PLOS. The EDA of the subjects was measured and analyzed while watching both the real-world and virtually created videos with different pedestrian volumes in a laboratory environment. The results showed the possibility of inferring the amount of pedestrian volume on the pathways by measuring the physiological reactions of pedestrians. Through further validation, the research outcome is expected to be used for EDA-based continuous measurement of perceived PLOS at the alley level, which will facilitate modifying the existing walking environments, e.g., constructing pathways with appropriate effective width based on pedestrian volume. Future research will examine the validity of the integrated use of EDA and acceleration signals to increase the accuracy of inferring the perceived PLOS by capturing both physiological and behavioral reactions when walking in a crowded area.

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The effectiveness and safety of acupuncture combination treatment on smoking cessation: A protocol for systematic review (금연에 대한 침술 병용 치료의 효과 및 안전성 : 체계적 검토를 위한 프로토콜)

  • In Suh Choi;Won-Suk Sung;Min-gi Jo;Jung-Hyun Kim;Yeon-Cheol Park;Eun-Jung Kim;Yong-Hyeon Baek;Geun-Woo Kim;Byung-Kwan Seo
    • Journal of Convergence Korean Medicine
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    • v.3 no.1
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    • pp.5-13
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    • 2022
  • Objectives: Smoking had a long negative impact on public health. The ingredients of a cigarette are major risk factors for several diseases. Owing to the problems about economic and quality of life, we need to ensure smoking cessation (SC). There are several approaches for SC including pharmacological therapy, nicotine replacement therapy, education, and behavioral intervention. However, due to some limitations, other alternative approaches are gaining popularity. Acupuncture has been reported to have few side effects and be more effective than some conventional treatments in several articles. However, there are no systematic reviews on the comparison of acupuncture combination treatment with other conventional monotherapies. Methods: Randomized controlled trials that used acupuncture as an adjunct treatment for SC will be searched and data will be summarized according to the predefined criteria. The primary outcome will be the abstinence rate, and secondary outcomes will be adverse events and biochemical indicators. We will use Review Manager to perform a meta-analysis, Cochrane Collaboration Risk of Bias tool for the risk of bias assessment, and the Grades of Recommendation, Assessment, Development and Evaluation approach to determine the quality of evidence. We will investigate the efficacy and safety of acupuncture combination treatment for SC with this study. Ethics and dissemination: This study will provide reliable clinical evidence on additional effect of acupuncture on smoking cessation. We will publish our results in a peer-review journal.

A Machine Learning-Based Encryption Behavior Cognitive Technique for Ransomware Detection (랜섬웨어 탐지를 위한 머신러닝 기반 암호화 행위 감지 기법)

  • Yoon-Cheol Hwang
    • Journal of Industrial Convergence
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    • v.21 no.12
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    • pp.55-62
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    • 2023
  • Recent ransomware attacks employ various techniques and pathways, posing significant challenges in early detection and defense. Consequently, the scale of damage is continually growing. This paper introduces a machine learning-based approach for effective ransomware detection by focusing on file encryption and encryption patterns, which are pivotal functionalities utilized by ransomware. Ransomware is identified by analyzing password behavior and encryption patterns, making it possible to detect specific ransomware variants and new types of ransomware, thereby mitigating ransomware attacks effectively. The proposed machine learning-based encryption behavior detection technique extracts encryption and encryption pattern characteristics and trains them using a machine learning classifier. The final outcome is an ensemble of results from two classifiers. The classifier plays a key role in determining the presence or absence of ransomware, leading to enhanced accuracy. The proposed technique is implemented using the numpy, pandas, and Python's Scikit-Learn library. Evaluation indicators reveal an average accuracy of 94%, precision of 95%, recall rate of 93%, and an F1 score of 95%. These performance results validate the feasibility of ransomware detection through encryption behavior analysis, and further research is encouraged to enhance the technique for proactive ransomware detection.

Analysis of Research Trends in Deep Learning-Based Video Captioning (딥러닝 기반 비디오 캡셔닝의 연구동향 분석)

  • Lyu Zhi;Eunju Lee;Youngsoo Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.13 no.1
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    • pp.35-49
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    • 2024
  • Video captioning technology, as a significant outcome of the integration between computer vision and natural language processing, has emerged as a key research direction in the field of artificial intelligence. This technology aims to achieve automatic understanding and language expression of video content, enabling computers to transform visual information in videos into textual form. This paper provides an initial analysis of the research trends in deep learning-based video captioning and categorizes them into four main groups: CNN-RNN-based Model, RNN-RNN-based Model, Multimodal-based Model, and Transformer-based Model, and explain the concept of each video captioning model. The features, pros and cons were discussed. This paper lists commonly used datasets and performance evaluation methods in the video captioning field. The dataset encompasses diverse domains and scenarios, offering extensive resources for the training and validation of video captioning models. The model performance evaluation method mentions major evaluation indicators and provides practical references for researchers to evaluate model performance from various angles. Finally, as future research tasks for video captioning, there are major challenges that need to be continuously improved, such as maintaining temporal consistency and accurate description of dynamic scenes, which increase the complexity in real-world applications, and new tasks that need to be studied are presented such as temporal relationship modeling and multimodal data integration.

A Study on the Quality of Healthcare Services for Four Critical Illnesses and the Maintenance of Right to Protection and Dignity in a Senior General Hospital (상급종합병원의 4대 중증질환 의료 서비스 품질과 보호받을 권리 및 존엄성 유지에 관한 연구)

  • Woojin Lee;Minsuk Shin
    • Journal of Korean Society for Quality Management
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    • v.51 no.4
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    • pp.531-550
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    • 2023
  • Purpose: The unique nature of life-and-death healthcare services sets them apart from other service industries. While many studies exist on the relationship between healthcare services and customer satisfaction, most of them focus on mildly ill patients, ignoring the differences between critically ill and non-seriously ill patients. This study discusses the actual quality of healthcare services for patients who are facing life-threatening illnesses and are on life support, as well as their right to protection and dignity. Methods: The survey conducted to 149 patients with the four major illnesses: cancer, heart disease, brain disease and rare and incurable disease, those who have experiences with senior general hospitals. Results: The basic statistics of this study are adequate to represent the four major critical illnesses, and the reliability and validity of this study's hypotheses, which were measured by multiple items, were analyzed, and the internal consistency was judged to be high. In addition, it was found that the convergent validity was good and the discriminant validity was also secured. When examining the goodness of fit of the hypotheses, the SRMR, which is the standardized root mean square of residuals that measures the difference between the covariance matrix of the data variables and the theoretical covariance matrix structure of the model, met the optimal criteria. Conclusion: The academic implications of this study are differentiated from other studies by moving away from evaluating the quality of healthcare services for mildly ill patients and focusing on the rights and dignity of patients with life-threatening illnesses in four senior general hospitals. In terms of academic implications, this study enriches the depth of related studies by demonstrating the right to protection and dignity as a factor of patient-centeredness based on physical environment quality, interaction quality, and outcome quality, which are presented as sub-factors of healthcare quality. We found that the three quality factors classified by Brady and Cronin (2001) are optimized for healthcare quality assessment and management, and that the results of patients' interaction quality assessment can be used to provide a comprehensive quality rating for hospitals. Health and human rights are inextricably linked, so assessing the degree to which rights and dignity are protected can be a superior and more comprehensive measurement tool than traditional health level measures for healthcare organizations. Practical implications: Improving the quality of the physical environment and the quality of outcomes is an important challenge for hospital managers who attract patients with life and death conditions, but given the scale and economics of time, money, and human inputs, improving the quality of interactions and defining them as performance indicators in hospital quality management is an efficient way to create maximum value in the short term.

Application of Patient Safety Indicators using Korean National Hospital Discharge In-depth Injury Survey (퇴원손상심층자료를 이용한 환자안전지표의 적용)

  • Kim, Yoo-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2293-2303
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    • 2013
  • Objective: This study aims to determine whether national patient safety indicators (PSIs) can be calculated. Methods: Using PSI criteria from Organization for Economic Co-Operation and Development (OECD) Health Technical Papers 19 based on the Agency for Healthcare Research and Quality (AHRQ), PSIs were identified in the Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) database for 875,622 inpatient admissions between 2004 and 2008. Logistic regression was used to estimate factors of variations for PSIs. Results: From 2004 to 2008, 3,084 PSI events of 8 PSIs occurred for over 80 thousands discharges. Rates per 1,000 events for decubitus ulcer (PSI3, 4.88), foreign body left during procedure (PSI5, 0.05), postoperative sepsis (PSI13, 1.32), birth trauma-injury to neonate (PSI17, 7.92) and obstetric trauma-vaginal delivery (PSI18, 32.81) are all identified between ranges from maximum to minimum of OECD rates, respectively. However, rates per 1,000 events for selected infections due to medical care (PSI7, 0.22), postoperative pulmonary embolism or deep vein thrombosis (PSI12, 0.90) and accidental puncture or laceration (PSI15, 0.71) are below the minimum of OECD range. 7 PSIs except PSI 18 showed statistically significant relationship with number of secondary diagnoses. When adjusting patient characteristics, there are statistically significant different rates according to bed size or location of hospitals. Conclusion: This is the first empirical study to identify nationally number of adverse events and PSIs using administrative database. While many factors influencing these results such as quality of data, clinical data and so on are remain, the results indicate opportunities for estimate national statistics for patient safety. Furthermore outcome research such as mortality related to adverse events is needed based on results of this study.

Proposal for the Hourglass-based Public Adoption-Linked National R&D Project Performance Evaluation Framework (Hourglass 기반 공공도입연계형 국가연구개발사업 성과평가 프레임워크 제안: 빅데이터 기반 인공지능 도시계획 기술개발 사업 사례를 바탕으로)

  • SeungHa Lee;Daehwan Kim;Kwang Sik Jeong;Keon Chul Park
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.31-39
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    • 2023
  • The purpose of this study is to propose a scientific performance evaluation framework for measuring and managing the overall outcome of complex types of projects that are linked to public demand-based commercialization, such as information system projects and public procurement, in integrated national R&D projects. In the case of integrated national R&D projects that involve multiple research institutes to form a single final product, and in the case of demand-based demonstration and commercialization of the project results, the existing evaluation system that evaluates performance based on the short-term outputs of the detailed tasks comprising the R&D project has limitations in evaluating the mid- and long-term effects and practicality of the integrated research products. (Moreover, as the paradigm of national R&D projects is changing to a mission-oriented one that emphasizes efficiency, there is a need to change the performance evaluation of national R&D projects to focus on the effectiveness and practicality of the results.) In this study, we propose a performance evaluation framework from a structural perspective to evaluate the completeness of each national R&D project from a practical perspective, such as its effectiveness, beyond simple short-term output, by utilizing the Hourglass model. In particular, it presents an integrated performance evaluation framework that links the top-down and bottom-up approaches leading to Tool-System-Service-Effect according to the structure of R&D projects. By applying the proposed detailed evaluation indicators and performance evaluation frame to actual national R&D projects, the validity of the indicators and the effectiveness of the proposed performance evaluation frame were verified, and these results are expected to provide academic, policy, and industrial implications for the performance evaluation system of national R&D projects that emphasize efficiency in the future.

Histopathologic Diagnosis and Outcome of Renal Biopsied Pediatric Nephrotic Syndrome (신생검을 받은 소아 신증후군에서 조직병리 소견과 치료 성과)

  • Chung Hye-Jeon;Youn Suk;Kim Sung-Do;Cho Byoung-Soo
    • Childhood Kidney Diseases
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    • v.9 no.2
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    • pp.149-158
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    • 2005
  • Purpose : To determine the histological findings and treatment outcome in cases of child hood nephrotic syndrome which required renal biopsy. Methods : We retrospectively reviewed the clinical, laboratory, pathologic findings and therapeutic outcomes of 159 nephrotic children who received a renal biopsy at the Department of Pediatrics, Kyunghee Medical University Hospital, Seoul from 1984 to 2004 over a period of 21 years. The renal biopsy was performed in nephrotic children who showed atypical features at presentation, or needed cytotoxic therapy because of frequent-relapsing, steroid-dependent, or steroid-resistant nephrotic syndrome(SRNS). Results : Minimal change disease(MCD) was found in 52.1$\%$ of the patients, followed by diffuse mesangial proliferation(33.1$\%$), focal segmental gomerulosclerosis(5.3$\%$), membranoproliferative glomerulonephritis(2.4$\%$), membranous nephropathy(2.4$\%$), and IgA nephropathy(1.8$\%$). In MCD children, 14.8$\%$ had hematuria, 22.7$\%$ had hypertension, 5.7$\%$ showed decreased renal function, and no patient was found to have an abnormal complement level. Among patients diagnosed with diseases other than MCD, 43.2$\%$ had hematuria, 21.0$\%$ was found to be hypertensive, 7.4$\%$ of children showed decreased renal function and only 3(3.7$\%$) had decreased complement level; the rates of hematuria and SRNS were found to be significantly higher than MCD patients. Among 37 SRNS patients, 30(81.0$\%$) showed a final remission state with long-term steroid therapy, including methylprednisolone pulse therapy, over 4 months, with or without cytotoxic therapy. Conclusion : Almost half of the cases of childhood nephrotic syndrome requiring renal biopsy were not diagnosed with MCD. Among atypical features, hematuria and steroid-resistance would be the most probable indicators for a diagnosis other than MCD. Even in patients with SRNS, long-term methylprednisolone pulse therapy may result in a good remission rate. (J Korean Soc Pediatr Nephrol 2005;9:149-158)

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Clinicopathologic features and prognosis of childhood IgA nephropathy (소아 IgA 신병증의 임상병리학적 양상과 예후)

  • Woo, Sung Il;Bae, Keun Wook;Lee, Joo Hoon;Park, Young Seo;Cho, Yong Mee
    • Clinical and Experimental Pediatrics
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    • v.50 no.2
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    • pp.170-177
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    • 2007
  • Purpose : Clinicopathological features were investigated to clarify the outcome and prognostic indicators for patients with IgA nephropathy in Korean children. Methods : We reviewed the outcomes of 61 patients in whom IgA nephropathy was diagnosed before the age of 15 years from 1991 to 2005 and followed-up at least for one year. All patients were confirmed by renal biopsy. Results : After mean follow-up of 5.2 years from onset, 24 patients of 61 (39.3%) were in clinical remission at the last examination. Thirty patients (49.2%) had hematuria or mild proteinuria (<$1g/m^2/d$), five (8.2%) had severe proteinuria (${\geq}1g/m^2/d$), and two (3.3%) had chronic renal failure. By univariate analysis, initial presentation at onset and Haas classification were less concordant with outcome. Hypertension during follow-up, rather than hypertension at presentation, was significantly correlated with outcomes (P<0.01). Sixty percent of patients who had more than 20% of glomerular sclerosis or crescent progressed to severe proteinuria or chronic renal failure, as compared with 7.1% of those who did not (P<0.01). Conclusion : Prognosis of childhood IgA nephropathy had a relatively benign course during a mean follow-up of 5.2 years. Persistent hypertension during follow-up and more than 20% of glomerular sclerosis or crescent were strong predictors of a progressive course of IgA nephropathy. A new histologic classification according to characteristics of childhood IgA nephropathy must be established to assess prognosis. Further efforts should be made to understand the prognosis of IgA nephropathy through long-term follow-up.

Clinicopathologic Changes of IgA Nephropathy in Children During Long-term (average 10.8 yrs) Follow-up (소아 IgA 신병증의 장기 추적(평균 10.8년)에 따른 임상 경과 및 병리학적 변화)

  • Moon, Chang-Min;Kim, Pyung-Kil;Lim, Beom-Jin;Song, Ji-Sun;Jeong, Hyeon-Joo
    • Childhood Kidney Diseases
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    • v.14 no.2
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    • pp.154-165
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    • 2010
  • Purpose : We know little about the natural course of IgA nephropathy (IgAN) in association with histologic changes especially in children. We investigated clinicopathologic features with long-term follow-up biopsy to clarify the outcomes and prognostic indicators for childhood IgAN. Methods : From our patients' medical records, we retrieved 20 patients with IgAN, to whom renal biopsies had been performed for the initial diagnosis and follow-up to find out any histologic changes. Initial and follow-up biopsies were classified by Haas classification. The changes of these parameters were compared with the evolution of clinical features. Results : Patients were treated with angiotensin-converting enzyme inhibitors in combination with angiotensin receptor blockers (in subclass II or above) and short-term cyclosporine A(in patients showing nephrotic syndrome). Histologic improvement in 7 cases and deterioration in 3 cases were observed. At the time of last biopsy, 10 cases (50%) showed clinical remission and the others showed improved clinical features. These clinical outcomes did not correlate with initial Haas classifications. Hypertension at onset observed in 5 cases (25%) revealed significant correlation with clinical outcome (P =0.01) and last Haas classification (P =0.007). None of the cases showed progression to CRF or ESRD. Conclusion : During a mean follow-up of $10.8{\pm}3.4$ years, childhood IgAN showed good clinicopathologic outcome. Hypertension at onset was only a strong predictor of clinicopathologic outcomes, but initial Haas classification cannot predict outcomes in children. Histologic change of IgAN in long term follow-up period cannot be completely predicted by clinical data and vice versa. Therefore, a renal biopsy should be considered as a part of follow-up plan.