• Title/Summary/Keyword: Evaluation Tool Model

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A Deep Learning Model for Judging Presence or Absence of Lesions in the Chest X-ray Images (흉부 디지털 영상의 병변 유무 판단을 위한 딥러닝 모델)

  • Lee, Jong-Keun;Kim, Seon-Jin;Kwak, Nae-Joung;Kim, Dong-Woo;Ahn, Jae-Hyeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.2
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    • pp.212-218
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    • 2020
  • There are dozens of different types of lesions that can be diagnosed through chest X-ray images, including Atelectasis, Cardiomegaly, Mass, Pneumothorax, and Effusion. Computed tomography(CT) test is generally necessary to determine the exact diagnosis and location and size of thoracic lesions, however computed tomography has disadvantages such as expensive cost and a lot of radiation exposure. Therefore, in this paper, we propose a deep learning algorithm for judging the presence or absence of lesions in chest X-ray images as the primary screening tool for the diagnosis of thoracic lesions. The proposed algorithm was designed by comparing various configuration methods to optimize the judgment of presence of lesions from chest X-ray. As a result, the evaluation rate of lesion presence of the proposed algorithm is about 1% better than the existing algorithm.

A Study on the Exposure Prediction Model of Fluoride Dentifrice (불소함유 세치제 사용에 따른 인체의 노출예측모델)

  • Yoon, Sung-Uk
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.663-669
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    • 2022
  • The content of fluoride in toothpaste commercially available in Korea has been increased to less than 1500 ppm. The purpose is to provide these results to consumers and to suggest alternatives to the safe use of toothpaste. This study was conducted on 1,300 people for 2 weeks from March 2021. As a research tool, general characteristics and oral health behaviors were surveyed. ConsExpo Web 1.0.2. It was used as an input variable for exposure evaluation. As a result of the study, when a toothpaste containing 1500 ppm of fluoride was used, the external dose on day of exposure was 2.3×10-2 mg/kg/day for males, 2.9×10-2 mg/kg/day for females, and children aged 2-3 years was estimated to be 7.3×10 -2 mg/kg/day. As a result of this study, it is thought that as the fluoride content of toothpaste distributed in the market increases, it will be used as a basic data to present standards for safe use by consumers.

Scale Development and Validation to Measure Occupational Health Literacy Among Thai Informal Workers

  • Suthakorn, Weeraporn;Songkham, Wanpen;Tantranont, Kunlayanee;Srisuphan, Wichit;Sakarinkhul, Pokin;Dhatsuwan, Jakkapob
    • Safety and Health at Work
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    • v.11 no.4
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    • pp.526-532
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    • 2020
  • Background: The high incidence of work-related diseases and injuries among day-laborers and workers with no legal contracts (informal workers) has received the attention of the Thai authorities. Workers' low occupational health literacy (OHL) has been reasoned as one contributing factor. Absence of a valid tool has prevented assessment of informal workers' OHL. The aim of this study was to create a valid and reliable Occupational Health Literacy Scale within the context of Thai working culture (TOHLS-IF). Methods: This study used the mixed method approach to develop TOHLS-IF. Questions were generated using in-depth interviews and an extensive review of the literature. Experts' assessment confirmed the content validity of TOHLS-IF. The scales of its psychometric properties were assessed in a sample of 400 informal workers using cluster random sampling. Results: The final version of the TOHLS-IF comprises 38 items within 4 dimensions: Ability to Gain Access, Understanding, Evaluation, and Use of occupational health and safety information. Factor analysis identified items explaining 50.22% of the total variance. The final confirmatory analysis confirmed the model estimates were satisfactory for the construct. TOHLS-IF demonstrated a high internal consistency and satisfactory reliability (Cronbach's alpha = .98). Conclusion: The TOHLS-IF is a valid and reliable instrument to assess informal workers' OHL. The structural dimensions of this instrument are based on the concept of health literacy and Thai culture. Thai health professionals are encouraged to benefit from this instrument to assess their workers' OHL and apply findings as guidelines for effective occupational health and safety interventions.

A Systematic Review and Meta-Analysis of Randomized Controlled Trials on Acupuncture for Improving Post-Operative Cognitive Dysfunction (POCD) and Chemotherapy-Related Cognitive Impairment (CRCI)

  • Kim, Ju-Young;Cho, Han-Byul;Kim, Man-Gi;Koo, Byung-Su;Kim, Geun-Woo
    • Journal of Oriental Neuropsychiatry
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    • v.33 no.1
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    • pp.49-78
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    • 2022
  • Objectives: This study was conducted to evaluate the efficacy of Korean Medicine Therapy (KMT) for the treatment of Chemotherapy-induced Cognitive Impairment (CICI) through systematic review and meta-analysis of randomized controlled trials (RCTs) as proceeding research to further research the efficacy of KMT for CICI patients. Methods: We conducted a systematic review and meta-analysis according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines (PRISMA). The RCTs on the efficacy of KMT for treatment of CICI were searched by structured search strategies in MEDLINE, EMBASE, Cochrane library, CAJD, KISS, NDSL, KoreaMed, and OASIS. The searched RCTs were screened by inclusion and exclusion criteria. We evaluated the quality of the method in the included studies using the Jadad score and Cochran ROB tool. The efficacy outcomes were the Visual Analogue Scale (VAS) and the Clinical total Effective Rate (CER) of CICI. They were analyzed using mean difference for continuous variable or Relative Risk (RR) for Dichotomous variable in the random-effect model. The RevMan 5.3 program was used for meta-analysis. Results: We included 19 RCTs, including 653 participants, in the systematic review and meta-analysis. There were favorable results for the KMT group after the intervention compared with the pharmacotherapy group, physiotherapy group, and combined treatment group. KMT group showed improvement using CER and VAS compared with exercises, but their heterogeneities were slightly significant. KMT was more effective compared to the Rehabilitation program in CER and the subgroup analysis results showed that KMT had a significant difference compared to other therapies in VAS, to Medication therapy in CER. Conclusions: KMT presented reasonable evidence on improving the Clinical total Effective Rate and Visual Analogue Scale in CICI patients. However, further evaluation in future research is required.

Development of Web-based APEX Best Management Practices Evaluation Technique (Web 기반 APEX 최적관리기법 평가 기술 개발)

  • Yang, Dongseok;Bae, Joohyeon;Park, Woonji;Choi, Yujin;Lim, Kyoungjae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.315-315
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    • 2020
  • 기후변화로 인하여 전 세계적으로 이상기후가 진행되고 있다. 우리나라의 경우 홍수와 가뭄 등의 이상 강수가 빈번히 발생하고 있으며, 이로 인한 비점오염물질의 유출과 집적이 발생하고 있다. SWAT (Soil and Water Assessment Tool)과 HSPF (Hydrological Simulation Program)등의 다양한 모델이 비점오염의 유출을 모의하기 위하여 활용되고 있으나, 농장 단위에서 유역 단위까지 다양한 대상지역에 대한 장기 모의와 BMP적용에 따른 효율평가가 어려운 실정이다. Texas A&M Agrilife Research에서 개발한 APEX(Agricultural Policy Environmental eXtender model) 모형의 경우, 농장 단위에서 유역 단위의 대상지역에 대하여 최대 100년까지 일단위 모의가 가능한 특징이 있다. 하지만 APEX 모형은 개발된지 상당한 시간이 지났으며, 데스크탑 기반의 모형이므로 다양한 플랫폼에서의 활용이 어려운 한계점이 있다. 따라서 본 연구에서는 1. 기존 데스크탑 기반의 APEX 모형을 웹에서 구동할 수 있도록 웹 기반 시스템을 구축하였으며, 2. 양분유출에 대한 모의 평가가 가능하도록 결과를 시스템화하는 모듈을 추가하였다. 또한, 3. 웹 기반 APEX 모형의 활용도를 위하여 최적관리기법을 적용할 수 있는 모듈을 개발 및 추가하였다. 본 연구의 결과는 향후 농업비점오염원 지역의 양분유출을 확인·예측하고 관리하기 위한 기초자료로 활용될 것으로 기대하며, 최적관리기법을 활용한 저감 정책을 수립하기 위한 평가도구로 활용될 수 있을 것이다. 또한, 기존 데스크탑 기반의 모형을 웹 기반으로 이전하였으므로, APEX 모형 혹은 다른 데스크탑 기반 모형들의 웹 이전을 통한 사용자 편의성 증대를 위한 기초자료로 활용될 수 있을 것이다. 아울러 본 연구의 결과는 APEX 모형의 작물 매개변수가 국내 환경에 최적화 되어있지 않으므로 정확한 BMP 저감효과 모의에는 한계가 있으므로, 이에 대한 추가적인 연구가 필요할 것으로 판단된다.

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The Reliability and Validity of the Korean Version of the 5C Psychological Antecedents of Vaccination Scale (한국어판 예방접종에 대한 심리적 소인 측정도구의 신뢰도와 타당도 검증)

  • Bae, SuYeon;Kim, HeeJu
    • Journal of Korean Academy of Nursing
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    • v.53 no.3
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    • pp.324-339
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    • 2023
  • Purpose: This study aimed to valuate the reliability and validity of the Korean version of the 5C Psychological Antecedents of Vaccination (K-5C) scale. Methods: The English version of the 5C scale was translated into Korean, following the World Health Organization guidelines. Data were collected from 316 community-dwelling adults. Content validity was evaluated using the content validity index, while construct validity was evaluated through confirmatory factor analysis. Convergent validity was examined by assessing the correlation with vaccination attitude, and concurrent validity was evaluated by examining the association with coronavirus disease 2019 (COVID-19) vaccination status. Internal consistency and test-retest reliability were also evaluated. Results: Content validity results indicated an item-level content validity index ranging from .83 to 1, and scale-level content validity index, averaging method was .95. Confirmatory factor analysis supported the fit of the measurement model, comprising a five-factor structure with a 15-item questionnaire (RMSEA = .05, SRMR = .05, CFI = .97, TLI = .96). Convergent validity was acceptable with a significant correlation between each sub-scale of the 5C scale and vaccination attitude. In concurrent validity evaluation, confidence, constraints, and collective responsibility of the 5C scale were significant independent predictors of the current COVID-19 vaccination status. Cronbach's alpha for each subscale ranged from .78 to .88, and the intraclass correlation coefficient for each subscale ranged from .67 to .89. Conclusion: The Korean version of the 5C scale is a valid and reliable tool to assess the psychological antecedents of vaccination among Korean adults.

Utilization of UAV Remote Sensing in Small-scale Field Experiment : Case Study in Evaluation of Plat-based LAI for Sweetcorn Production

  • Hyunjin Jung;Rongling Ye;Yang Yi;Naoyuki Hashimoto;Shuhei Yamamoto;Koki Homma
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.75-75
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    • 2022
  • Traditional agriculture mostly focused on activity in the field, but current agriculture faces problems such as reduction of agricultural inputs, labor shortage and so on. Accordingly, traditional agricultural experiments generally considered the simple treatment effects, but current agricultural experiments need to consider the several and complicate treatment effects. To analyze such several and complicate treatment effects, data collection has the first priority. Remote sensing is a quite effective tool to collect information in agriculture, and recent easier availability of UAVs (Unmanned Aerial Vehicles) enhances the effectiveness. LAI (Leaf Area Index) is one of the most important information for evaluating the condition of crop growth. In this study, we utilized UAV with multispectral camera to evaluate plant-based LAI of sweetcorn in a small-scale field experiment and discussed the feasibility of a new experimental design to analyze the several and complicate treatment effects. The plant-based SR measured by UAV showed the highest correlation coefficient with LAI measured by a canopy analyzer in 2018 and 2019. Application of linear mix model showed that plant-based SR data had higher detection power due to its huge number of data although SR was inferior to evaluate LAI than the canopy analyzer. The distribution of plant-based data also statistically revealed the border effect in treatment plots in the traditional experimental design. These results suggest that remote sensing with UAVs has the advantage even in a small-scale experimental plot and has a possibility to provide a new experimental design if combined with various analytical applications such as plant size, shape, and color.

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Development and Effectiveness of Problem Solving based Safety Education Program using Physical Computing

  • Jooyoun Song;YeonKyoung Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.11
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    • pp.235-243
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    • 2023
  • In this paper, we developed a problem-solving based safety education program using physical computing for middle school students and applied it to verify the impact on self-efficacy and interest. The safety education program developed in this study includes four stages of the creative problem-solving model: problem identification, planning, implementation, and evaluation, and learning activities using Arduino, a physical computing tool. After implementing the education program with 77 third-year middle school students, both self-efficacy and interest of middle school students increased significantly. Based on the research results, the effectiveness of the safety education program that used physical computing and problem-solving steps was confirmed, and practical implications were presented to promote the activation of physical computing education in the school field.

Utilization of Generative Artificial Intelligence Chatbot for Training in Suicide Risk Assessment of Depressed Patients: Focusing on Students at a College of Korean Medicine (우울증 환자의 자살 위험 평가의 훈련을 위한 생성형 인공지능 챗봇의 의학적 교육 활용 사례: 일개 한의과대학 학생을 중심으로)

  • Chan-Young Kwon
    • Journal of Oriental Neuropsychiatry
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    • v.35 no.2
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    • pp.153-162
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    • 2024
  • Objectives: Among OECD countries, South Korea has been having the highest suicide rate since 2018, with 24.1 deaths per 100,000 people reported in 2020. The objectie of this study was to examine the use of generative artificial intellicence (AI) chatbots to train third-year Korean medicine (KM) students in conducting suicide risk assessments for patients with depressive disorders to train students for their clinical practice skills. Methods: The Claude 3 Sonnet model was utilized for chatbot simulations. Students performed mock consultations using standardized suicide risk assessment tools including Ask Suicide-Screening Questions (ASQ) tool and ASQ Brief Suicide Safety Assessment. Experiences and attitudes were collected through an anonymous online survey. Responses were rated on a 1~5 Likert scale. Results: Thirty-six students aged 22~30 years participated in this study. Their scores for interest and appropriateness (4.66±0.57), usefulness (4.60±0.61), and overall experience (4.63±0.60) were high. Their evaluation of the usability of artificial intelligence chatbot was also high at 4.58±0.70 points. However, their trust in chatbot responses (Q12) was lower (3.86±0.99). Common issues related to dissatisfaction included conversation disruptions due to token limits and inadequate chatbot responses. Conclusions: This is the first study investigating generative AI chatbots for suicide risk assessment training in KM education. Students reported high satisfaction, although their trust in chatbot accuracy was moderate. Technical limitations affected their experience. These preliminary findings suggest that generative AI chatbots hold promise for clinical training, particularly for education in psychiatry. However, improvements in response accuracy and conversation continuity are needed.

Multi-metric Index Assessments of Fish Model and Comparative Analysis of Community (남한강 상류 수계에서 어류의 다변수 모델 지수 산정 및 군집지수와의 비교평가)

  • Lee, Jae-Hoon;Hong, Young-Pyo;An, Kwang-Guk
    • Korean Journal of Ecology and Environment
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    • v.40 no.2
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    • pp.327-336
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    • 2007
  • This study assessed ecological health using a multi-metric fish model from 15 sites in the headwater watershed of southern Han River during June${\sim}$August 1999 and then compared the health with conventional community diversity index to figure out differences between health and diversity index. For the analysis, we adopted 10 metric IBI model for regional applications. During this survey, total number of species sampled were 24 (6 families) and varied depending on magnitude of ecological disturbance and stream order. In the mountainous streams, mean proportion of sensitive and insectivore species was composed of 91% and 56%, respectively, indicating a potential healthy conditions. However, tolerant species with 66% and omnivore species with 76% were sampled from the 2nd order stream, which was shown deterioration in the physical habitat quality. In the overall watershed, mean IBI value was 38, judging as "fair" condition by the health criteria. Values of Individual IBI were closely associated with stream order and this pattern was similar to other mountainous streams showing low chemical pollutions and disturbance. Our comparison between IBI and diversity index over the stream order showed a distinct difference; Shannon-Weaver diversity index overestimated the actual community conditions and the variation range in the 2nd order stream was greater in the diversity index. Overall data suggest that the multi-metric approach may to a useful tool for stream ecosystem management and the conventional diversity index may not effective unless the stream order is considered for the stream evaluation.