• 제목/요약/키워드: treatment data

검색결과 11,127건 처리시간 0.04초

체중감량자료에 대한 적정 공분산형태모형 산출에 관한 실증연구 (An empirical study on the selection of the optimal covariance pattern model for the weight loss data)

  • 조진남
    • Journal of the Korean Data and Information Science Society
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    • 제20권2호
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    • pp.377-385
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    • 2009
  • 서울시에 거주하는 25명의 여대생을 대상으로 식이요법에 대한 체중감량 효과를 비교하고자 식이요법과 운동을 병행하는 그룹과 식이요법만 실시하는 그룹으로 나누어서, 8주간에 걸쳐서 2주 간격으로 측정을 실시하여 각 그룹별로 4회 반복측정실험자료를 얻었다. 이 실험자료를 바탕으로 반복측정에 관한 혼합모형을 이용하여 분석한 결과 처리별 Toeplitz 공분산형태가 가장 적절한 모형으로 선택되었다. 처리별 Toeplitz 공분산형태를 가정하여 분석한 결과, 식이요법 이전의 체중값과 시간의 차이에 따른 효과는 대단히 유의하지만, 처리와 시간 간의 교호작용은 유의하지 않은 것으로 나타났으며, 식이요법과 운동을 병행한 그룹의 학생들이 식이요법만 섭취한 그룹의 학생들보다 좀더 효과적인 체중감량의 효과가 있었음이 판명되었다.

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딥러닝 기반 객체 인식을 통한 철계 열처리 부품의 인지에 관한 연구 (Deep Learning-based Material Object Recognition Research for Steel Heat Treatment Parts)

  • 박혜정;황창하;김상권;여국현;서상우
    • 열처리공학회지
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    • 제35권6호
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    • pp.327-336
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    • 2022
  • In this study, a model for automatically recognizing several steel parts through a camera before charging materials was developed under the assumption that the temperature distribution in the pre-air atmosphere was known. For model development, datasets were collected in random environments and factories. In this study, the YOLO-v5 model, which is a YOLO model with strengths in real-time detection in the field of object detection, was used, and the disadvantages of taking a lot of time to collect images and learning models was solved through the transfer learning methods. The performance evaluation results of the derived model showed excellent performance of 0.927 based on mAP 0.5. The derived model will be applied to the model development study, which uses the model to accurately recognize the material and then match it with the temperature distribution in the atmosphere to determine whether the material layout is suitable before charging materials.

Analysis of Trend of Studies on Microneedle Treatment System (MTS)

  • Chun, Hea-Sun;Song, Ho-Seub
    • 대한약침학회지
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    • 제24권4호
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    • pp.182-190
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    • 2021
  • Objectives: The purpose of this study was to analyze the microneedle therapy system (MTS) and its research methods for the past 10 years in Korea. Methods: Data on microneedle therapy system were collected using NDSL, KISS, RISS, and OASIS electronic databases from January 2010 to August 2021. "microneedle," "derma stamp," "microneedle therapy system" were used as the keywords. The present study, however, excluded data that were 1) unrelated to the microneedle therapy system, 2) from review/meta/protocol studies, and 3) from overseas studies. Data selected through the primary screening process, animal studies, case reports, and clinical data were included in the analysis. However, information data not related to the microneedle therapy system were excluded from the study. Results: Among the MTS-related papers published from January 2010 to August 2021, 7 animal research, 2 clinical trials, and 10 case studies were published. Based on the research topics, there were 8 papers on skin improvement and skin diseases, 7 papers on hair growth and hair loss, 3 papers on stability, and 1 paper on peripheral facial paralysis. Conclusion: Most of the studies related to MTS focused on skin, hair, and stability. The effect of MTS on hair growth and skin improvement has been confirmed, and it has been proven to have significant effects on the treatment of acne, acne scars, and hair loss in clinical practice. No serious side effects were observed during the MTS treatment, and the safety assessment confirmed that it was safe for use.

A Study on the General Public's Perceptions of Dental Fear Using Unstructured Big Data

  • Han-A Cho;Bo-Young Park
    • 치위생과학회지
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    • 제23권4호
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    • pp.255-263
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    • 2023
  • Background: This study used text mining techniques to determine public perceptions of dental fear, extracted keywords related to dental fear, identified the connection between the keywords, and categorized and visualized perceptions related to dental fear. Methods: Keywords in texts posted on Internet portal sites (NAVER and Google) between 1 January, 2000, and 31 December, 2022, were collected. The four stages of analysis were used to explore the keywords: frequency analysis, term frequency-inverse document frequency (TF-IDF), centrality analysis and co-occurrence analysis, and convergent correlations. Results: In the top ten keywords based on frequency analysis, the most frequently used keyword was 'treatment,' followed by 'fear,' 'dental implant,' 'conscious sedation,' 'pain,' 'dental fear,' 'comfort,' 'taking medication,' 'experience,' and 'tooth.' In the TF-IDF analysis, the top three keywords were dental implant, conscious sedation, and dental fear. The co-occurrence analysis was used to explore keywords that appear together and showed that 'fear and treatment' and 'treatment and pain' appeared the most frequently. Conclusion: Texts collected via unstructured big data were analyzed to identify general perceptions related to dental fear, and this study is valuable as a source data for understanding public perceptions of dental fear by grouping associated keywords. The results of this study will be helpful to understand dental fear and used as factors affecting oral health in the future.

Recommendation of Optimal Treatment Method for Heart Disease using EM Clustering Technique

  • Jung, Yong Gyu;Kim, Hee Wan
    • International Journal of Advanced Culture Technology
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    • 제5권3호
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    • pp.40-45
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    • 2017
  • This data mining technique was used to extract useful information from percutaneous coronary intervention data obtained from the US public data homepage. The experiment was performed by extracting data on the area, frequency of operation, and the number of deaths. It led us to finding of meaningful correlations, patterns, and trends using various algorithms, pattern techniques, and statistical techniques. In this paper, information is obtained through efficient decision tree and cluster analysis in predicting the incidence of percutaneous coronary intervention and mortality. In the cluster analysis, EM algorithm was used to evaluate the suitability of the algorithm for each situation based on performance tests and verification of results. In the cluster analysis, the experimental data were classified using the EM algorithm, and we evaluated which models are more effective in comparing functions. Using data mining technique, it was identified which areas had effective treatment techniques and which areas were vulnerable, and we can predict the frequency and mortality of percutaneous coronary intervention for heart disease.

한국 보건의료 빅데이터 플랫폼에서 웹 기반 OLAP 서버 구현 (An Implementation of Web-Enabled OLAP Server in Korean HealthCare BigData Platform)

  • ;김진혁;정승현;이경희;조완섭
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2017년도 춘계 종합학술대회 논문집
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    • pp.33-34
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    • 2017
  • In 2015, Ministry of Health and Welfare of Korea announced a research and development plan of using Korean healthcare data to support decision making, reduce cost and enhance a better treatment. This project relies on the adoption of BigData technology such as Apache Hadoop, Apache Spark to store and process HealthCare Data from various institution. Here we present an approach a design and implementation of OLAP server in Korean HealthCare BigData platform. This approach is used to establish a basis for promoting personalized healthcare research for decision making, forecasting disease and developing customized diagnosis and treatment.

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STUDY ON ANALYSIS OF SIGNIFICANCE OF SYMPTOM-TREATMENT METHOD COMBINATION

  • Oh, Yong Taek;Nam, Bo Ryeong;Kim, An Na
    • Journal of applied mathematics & informatics
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    • 제32권5_6호
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    • pp.737-746
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    • 2014
  • Treatment method refers to a principle or method for treating diseases in Traditional Korean Medicine(TKM). As doctors determine the ideal treatment for a patient's disease or symptom, they are also able to prescribe effective treatment means for the diseases or symptom such as medicinal materials, prescription, acupuncture and moxibustion. Therefore, if significant symptom-treatment method combinations are found from literature or database, proper treatment means for the patient's diseases or symptom may be presented to TKM doctors and enhanced treatment accuracy and efficiency can be expected. This study aims to analyze the relation between symptom and treatment method by interpreting hypotheses through null hypotheses to find significant symptom-treatment method combinations. This combinations suggested in this study will be compared with TKM experts analysis result to find an objective analysis method and eventually apply the method to medical big data, e.g., a huge amount of literature or treatment records.

알칼리와 셀룰라아제 처리에 의한 아세테이트 직물의 표면 형태 및 성능의 변화 (Changes in Surface Shape and Physical Properties of Acetate Fabrics by Alkaline and Cellulase Treatment)

  • 이애진;이혜자;유혜자
    • 한국염색가공학회지
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    • 제13권1호
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    • pp.9-17
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    • 2001
  • The purpose of this study is to present basic data for the enzymatic modification of acetate fabrics. The weight loss and rate of weight loss of acetate fabrics increased with increasing NaOH concentration and treating time. Acetyl value decreased as the weight loss became higher. The weight loss of alkaline-treated acetate fabrics were directly proportional to the concentration and treating time of cellulase. The optimum temperature and pH in cellulase treatment were $55^\circ{C}$ and pH 3.5. The surface shape revealed that density of fiber decreased by alkaline-treatment. With the treating time of cellulase, fibrillation occurred. In case of higher weight loss in alkaline treatment, fibril is removed after 180 min. The tensile strength decreased by alkaline and cellulase treatment. Especially, in case of higher weight loss of alkaline treatment, tensile strength decreased suddenly. Alkaline treatment increased the drapability of acetates, while cellulase treatment increased it initially but decreased gradually with treatment time. The dyeability after alkaline treatment was improved for reactive dye, but deteriorated for disperse dye. The cellulase treatment of acetate lowered the dyeability for both types of dyes.

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치과 임플란트 시술 전·후의 구강보건행동 및 치료만족도 (Treatment satisfaction and oral health behavior of the before and after dental implanting treatment)

  • 김정숙;박지영;백지민;이종화
    • 한국치위생학회지
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    • 제13권6호
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    • pp.1087-1094
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    • 2013
  • Objectives : In this study, for before/after dental implant surgery, our aim is to provide the basic data based on the decision of the treatment by measuring satisfaction of the treatment and finding out the intention to revisit a hospital and also by recommendation. Methods : We conducted the frequency analysis, a cross-tabulations, paired t-test and a correlation analysis of 146 data who had visited at 6 dental clinics and hospitals located in Daegu for dental implant surgery, with SPSS (PASW 18.0 for Windows, SPSS Inc, USA) to find out the satisfaction of the treatment before/after dental implant surgery. Results : The satisfaction related to before/after dental implant surgery of oral health was all statistically significant on a masticatory, social and psychological function, the satisfaction towards the treatment, the intention to revisit a hospital and also by recommendation. Independent variables explained the satisfaction of the treatment before/after dental implant surgery as 19.1% and indicated a significantly high value in general. Conclusions : The satisfaction was higher on satisfactory of the postoperative treatment than on satisfactory of the preoperative treatment in spite of these limitations. Therefore, the dental medical team should take into account dental implanting as a way which improves the satisfaction of the treatment related with oral health and have continuous managements and careful concerns.

Development of Complex Module Device for Odor Reduction in Sewage

  • KIM, Young-Do;JEONG, Tae-Hwan;Kim, Su-Hye;KWON, Woo-Taeg
    • 웰빙융합연구
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    • 제5권4호
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    • pp.51-56
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    • 2022
  • Purpose: By applying an ultrasonic mechanical device to the liquid fertilizer storage in the pig dropping treatment plant, the initial odor of the odor source is reduced, and the air dilution drainage of the complex odor is fundamentally recognized to facilitate odor treatment on the mechanical and chemical biological treatment devices at the rear. Research design, data and methodology: The odor concentration on the site boundary was measured to confirm the state of reduction. In order to prevent the spread of odor from the collection of the pig dropping treatment plant, it was measured by installing an ultrasonic generator inside the installation wall after installing the sealing wall. Results: The average value of the March and April measurement data remained close to neutral at 8.2 after 8.6 treatment before pH treatment, decreased 97.3% from 462 mg/L before SS treatment to 10.5 mg/L after treatment, and the composite odor was reduced by 85% from 20 to 3 before treatment. It was confirmed that ammonia (NH3) was reduced by 99% from 5.8 ppm to 0.09 ppm, and general bacteria were also reduced by 99% from 3,200 CFU/mL to 57 CFU/mL Conclusion: Applying the ultrasonic air ejector hybrid system and zigzag air complex module development product to resource circulation centers or sewage treatment facilities is thought to reduce inconvenience to residents due to odors caused.