• 제목/요약/키워드: treatment data

검색결과 11,127건 처리시간 0.036초

Association of the First Antipsychotic Treatment Duration With the Re-Initiation of Treatment in Schizophrenia: A National Health Insurance Data-Based Study

  • Song, Minho;Lee, Jungsun;Kim, Harin;Ahn, Soojin;Choi, Young Jae;Jo, Young Tak;Joo, Sung Woo
    • 대한조현병학회지
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    • 제24권2호
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    • pp.60-67
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    • 2021
  • Objectives: The optimal duration of maintenance treatment for patients with first-episode schizophrenia (FES) remains unclear. We examined the first antipsychotic treatment duration and its association with re-initiation of treatment using a nationwide claim database. Methods: Data from the Health Insurance Review and Assessment Service database in South Korea for 2007-2016 were used. Linear regression analysis and Cox proportional hazard models were used to evaluate the associations between the duration of the first antipsychotic treatment, time to re-initiation of treatment, and occurrence of treatment re-initiation. Results: Of 30,143 patients with FES, 80.4% (n=24,231) received <2 years of the first antipsychotic treatment. In patients who discontinued treatment (n=23,030), the rate of treatment re-initiation was 74.2% (n=17,086). As the duration of the first antipsychotic treatment increased, the time to re-initiation of treatment decreased (β=-0.146, p<0.001); however, the rate of treatment reinitiation was relatively constant (hazard ratio=1.001, p<0.001). Conclusion: Long-term antipsychotic treatment was not significantly associated with the rate of treatment re-initiation but showed a negative association with the time to re-initiation of treatment. Further research is needed to better understand the optimal treatment duration for FES.

국내 정수장의 Larson's ratio 특성에 관한 연구 (Study on characteristic for Larson's ratio of water treatment plants)

  • 민병대;정현미;안경희;박주현
    • 상하수도학회지
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    • 제30권5호
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    • pp.579-586
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    • 2016
  • In many countries in order to manage corrosion of water treatment process, it is currently using Langelier index (LI). However, management of the Larson's ratio (LR) to compare corrosion management and LI which can be generated by the water treatment process is required. In this study, in order to ensure data LR, factors associated with the actual corrosion resistance of water treatment plant was measured. Using the measured data, the model equation can be estimated alkalinity, and using the statutory water quality data, LR and alkalinity is estimated. At comparison of the measured value and estimated value of alkalinity, it appeared in $R^2$ = 0.629, using the statutory water quality data and estimated alkalinity model, LR and alkalinity (Whole water treatment plants : 472) is estimated. Concentration of estimated alkalinity is 0.5 mg/L to 107.5 mg/L (average : 23.2 mg/L), and LR is 0.1 to 10 (average : 1.3). At tendency to corrosion of investigated LR, "No metal tendency" (>0.5) is 39 water treatment plants, 8.26 %, and "corrosion metal tendency" is 433 water treatment plants, 91.74%.

국내 하수처리시설에 인공지능기술 적용을 위한 사례 연구 (The Case Studies of Artificial Intelligence Technology for apply at The Sewage Treatment Plant)

  • 김태우;이호식
    • 한국물환경학회지
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    • 제35권4호
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    • pp.370-378
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    • 2019
  • In the recent years, various studies have presented stable and economic methods for increased regulations and compliance in sewage treatment plants. In some sewage treatment plants, the effluent concentration exceeded the regulations, or the effluent concentration was manipulated. This indicates that the process is currently inefficient to operate and control sewage treatment plants. The operation and control method of sewage treatment plant is mathematically dealing with a physical and chemical mechanism for the anticipated situation during operation. In addition, there are some limitations, such as situations that are different from the actual sewage treatment plant. Therefore, it is necessary to find a more stable and economical way to enhance the operational and control method. AI (Artificial Intelligence) technology is selected among various methods. There are very few cases of applying and utilizing AI technology in domestic sewage treatment plants. In addition, it failed to define specific definitions of applying AI technologies. The purpose of this study is to present the application of AI technology to domestic sewage treatment plants by comparing and analyzing various cases. This study presented the AI technology algorithm system, verification method, data collection, energy and operating costs as methods of applying AI technology.

국내 하수처리시설 에너지 등급 평가를 위한 ENERWATER의 적용 가능성에 관한 연구 (A Study on the Applicability of ENERWATER for Evaluation of the Energy Consumption Label of WWTPs in Korea)

  • 박민오;이호식
    • 한국물환경학회지
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    • 제38권5호
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    • pp.231-239
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    • 2022
  • In this study, we applied ENERWATER to evaluate the energy consumption labeling of wastewater treatment plants in Korea using the Korea sewerage statistics data. The results showed that the energy label status was excellent in the SBR process for small and medium-scale wastewater treatment plants and the A2O process for large-scale wastewater treatment plants. The energy labeling of wastewater treatment plants of 50,000 tons capacity was excellent. The statuses of metropolitan cities and Jeollanam-do province were excellent. We analyzed the effects of renewable energy on wastewater treatment plants' energy consumption and found out that digestion gas for large-scale plants and photovoltaic energy for small-scale plants were effective in improving energy labeling. In addition, we compared the energy labels of four wastewater treatment plants in "Z" city and wastewater treatment plant "X" had the best energy label, and the wastewater treatment plants "V" and "Y" had to be selected as priorities for the energy diagnosis and improvement project. In a comprehensive conclusion, the applicability of ENERWATER was confirmed based on sewage statistics data and labeling can be used to set priorities for the energy diagnosis and improvement project.

Assessing Cure Rates via Piecewise Gompertz model with Covariates

  • Chung, Dae-Hyun;Won, Dong-Yu
    • Journal of the Korean Data and Information Science Society
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    • 제10권2호
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    • pp.445-455
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    • 1999
  • We modify the Gompertz regression model for estimation of cure rates from pediatric clinical trials by assuming different hazard rates on the different periods. A treatment period may be divided by the stages of treatments under the different treatment arms. The piecewise Gompertz models provide an efficient method for estimation of the cure rates and a method for testing the difference of the treatment effects in the given interval.

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A Study On the Retention Time Distribution with Plasma Damage Effect

  • Yi Jae Young;Szirmay Laszlo;Yi Cheon Hee
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.460-462
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    • 2004
  • The control of the data retention time is a main issue for realizing future high density dynamic random access memory. There are several leakage current mechanisms in which the stored data disappears. The mechanisms of data disappear is as follow, 1 )Junction leakage current between the junction, 2) Junction leakage current from the capacitor node contact, 3)Sub-threshold leakage current if the transfer transistor is affected by gate etch damage etc. In this paper we showed the plasma edge damage effect to find out data retention time effectiveness. First we measured the transistor characteristics of forward and reverse bias. And junction leakage characteristics are measured with/without plasma damage by HP4145. Finally, we showed the comparison TRET with etch damage, damage_cure_RTP and hydrogen_treatment. As a result, hydrogen_treatment is superior than any other method in a curing plasma etch damage side.

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진료정보 분석 활용을 위한 Clinical DW에 관한 연구 (A study of Clinical DW for utilizing analysis of medical treatment information)

  • 송민구;김선배
    • 디지털융복합연구
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    • 제11권8호
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    • pp.293-302
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    • 2013
  • 지금까지의 병원의 DW(Data Warehouse)는 주로 원무중심의 데이터를 분석하는 용도로 사용되어 왔다. 하지만, 전자의무기록(Electronic Medical Record) 시스템이 구축되면서 원무중심의 기존의 DW와 달리 진료 기록과 영상 촬영 기록의 판독내용 등의 비정형 데이터도 환자의 진료 및 치료의 중요한 정보를 얻는데 매우 유익하게 활용될 수 있다. 따라서 본 논문에서는 지금까지 병원에서 활용되는 원무 중심의 DW(Medical DW)가 아닌 진료 중심의 DW(Clinical DW)의 구축의 필요성을 제기하였다. 또한 CDW가 실제로 어떤 부분에 어떻게 활용되는 지를 기술하였다. 마지막으로 병원의 실제 진료 데이터를 시소러스(Thesaurus)검색 방법을 사용하여 과거 이력에 따른 연관 상병 간의 상관관계를 도출하여 환자 조기치료의 기반을 마련하고자 한다.

치과치료 공포감 및 치과의사 불신감의 관련요인 분석 (Analysis of related factors for dental treatment of fear and distrust of dentists)

  • 최성숙
    • 한국치위생학회지
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    • 제12권6호
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    • pp.1148-1157
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    • 2012
  • Objectives : The purpose of this study is to analyze factors impacting dental treatment of fear and distrust of dentists. The subjects of this study consists of 720 middle & high school students in Daegu area. Methods : The data were collected from June 1, 2009 to September 30, 2009 by self-administrative questionnaires. The data received was analyzed using the descriptive statistic, t-test, ANOVA, and multiple linear regression analysis with level of significance as p<0.05 stimulus response factors in oral health education, often highly-experienced, and distrust of the dentists of factors the lower stimulus response factors are highly. Results : A female dental treatment of fear and distrust of dentists showed higher than male. Showed higher dental treatment of fear and the higher distrust of dentist. Showde the treatment-avoidance factors the higher patient of negligence factors and distrust of dentists factors are highly statistically significant. Showed the stimulus response factors in oral health education, often highly-experienced, and distrust of the dentists of factors the lower stimulus response factors are highly. Showed the similar results physiological arousal factors and the stimulus response factors. Conclusions : The results suggest that oral health status of improve adolescent before treatment of patients identify biological characteristics and personality can decrease dental treatment of fear and distrust of dentist.

Treatment Planning in Smart Medical: A Sustainable Strategy

  • Hao, Fei;Park, Doo-Soon;Woo, Sang Yeon;Min, Se Dong;Park, Sewon
    • Journal of Information Processing Systems
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    • 제12권4호
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    • pp.711-723
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    • 2016
  • With the rapid development of both ubiquitous computing and the mobile internet, big data technology is gradually penetrating into various applications, such as smart traffic, smart city, and smart medical. In particular, smart medical, which is one core part of a smart city, is changing the medical structure. Specifically, it is improving treatment planning for various diseases. Since multiple treatment plans generated from smart medical have their own unique treatment costs, pollution effects, side-effects for patients, and so on, determining a sustainable strategy for treatment planning is becoming very critical in smart medical. From the sustainable point of view, this paper first presents a three-dimensional evaluation model for representing the raw medical data and then proposes a sustainable strategy for treatment planning based on the representation model. Finally, a case study on treatment planning for the group of "computer autism" patients is then presented for demonstrating the feasibility and usability of the proposed strategy.

Acupuncture for Adult Obstructive Sleep Apnea or Obstructive Sleep Apnea-Hypopnea Syndrome: A Review of the China National Knowledge Infrastructure Database

  • Hye Kyung, Baek;Young Jun, Kim;Yeon Sun, Lee;Hye Ri, Jo;Mi So, Park;Dong Guk, Shin;Hyun A, Shim
    • Journal of Acupuncture Research
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    • 제39권4호
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    • pp.275-282
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    • 2022
  • The purpose of this study was to analyze acupuncture treatment methods and acupoints used to treat obstructive sleep apnea (OSA) or obstructive sleep apnea-hypoapnea syndrome (OSAHS). The data were retrieved from January 2010 to May 2022 from the China National Knowledge Infrastructure database. The search terms included "adult," "obstructive sleep apnea," "obstructive sleep apnea hypoapnea syndrome," "acupuncture," and "electro-acupuncture." Clinical trials for acupuncture treatment of OSA or OSAHS were included in this review (4 non-randomized controlled studies, 1 was a case report, and 10 randomized controlled studies). For OSA and OSAHS treatment, the acupoints that were most frequently used included REN23, LU7, ST40, EX9, LI11, and DU20. Compared with the control or Western treatment group, the treatment outcome measures of participants in the acupuncture treatment group significantly improved. In some studies, participants in the acupuncture group did not have side effects and the treatment was cost-effective. The data analyzed in this review suggest that acupuncture is an effective treatment for OSA or OSAHS.