• Title/Summary/Keyword: treatment data

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The Effective Maintenance of Sewage Treatment Plant with Development of Database Management Library (자료관리(資料管理) Library의 개발(開發)을 통한 하수처리장(下水處理場)의 효율적(效率的)인 유지관리(維持管理))

  • Lee, Jae-Kee;Lee, Hyun-Jik;Choi, Suk-Kun;Park, Kyung-Yeol;Lho, Byeong-Cheol
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.1 s.9
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    • pp.103-118
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    • 1997
  • In recent years, there have been emerging the establishment and extension of sewage treatment facilities in many cities due to population growth and high standard for sewage treatment. The objective of this study is to develop and implement a Data Management Library which could deal with enormous amount of graphic and attribute data effectively and afficiently. Based on the Data Management Library developed, the Sewage Treatment Management System(STMS) was Implemented and investigated in preparation for the extension of sewage treatment facilities. Cheongju city enviromental station was selected as a test site. We first analyzed current work flow in sewage treatment and then performed database design suitable for managing sewage treatment in effective fashion. The STMS consists mainly of two parts : one is for manipulating the graphic and attribute data and the other for application of sewage treatment related works. Conclusively, the STMS developed in this study could be utilized as a comer stone for an effective maintenance and management of sewage treatment.

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Analysis of behavioral management for dental treatment in patients with dementia using the Korean National Health Insurance data

  • Kim, Taeksu;Chi, Seong In;Kim, Hyuk;Seo, Kwang-Suk
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.21 no.5
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    • pp.461-469
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    • 2021
  • Background: The global population is aging rapidly, and accordingly, the number of patients with dementia is increasing every year. Although the need for dental treatment increases for various reasons in patients with dementia, they cannot cooperate during dental treatment. Therefore, behavioral management, including sedation (SED) or general anesthesia (GA), is required for patients with dementia. Thus, this study aimed to investigate the trends and effects of SED or GA in patients with dementia undergoing dental treatment in South Korea based on the Korean National Health Insurance claims data. Methods: This study utilized customized health information data provided by the Health Insurance Review and Assessment Service. Among patients with records of using sedative drugs during dental treatment from January 2007 to September 2019, patients with the International Classification of Diseases-10 code for dementia (F00, F01, F02, F03, and G30) were selected. We then analyzed the full insurance claims data for dental care. Age, sex, sedative use, and dental treatment of patients were analyzed yearly. In addition, the number of cases of GA or SED per year was analyzed, and changes in behavioral management methods with increasing age were investigated. Results: Between January 2007 and September 2019, a total of 4,383 (male, 1,454; female, 2,929) patients with dementia received dental treatment under SED or GA. The total number of SED and GA cases were 1,515 (male, 528 ; female, 987 ) and 3,396 (male, 1,119 ; female, 2,277) cases, respectively. The total number of cases of dental treatment for 4,383 patients with dementia was 153,051 cases, of which 2.22% were under GA and 0.98% were under SED. Midazolam was the most commonly used drug for SED. Conclusion: Although gingivitis and pulpitis were the most common reasons for patients with dementia to visit the dentist, GA or SED for patients with dementia was frequently used in oral and maxillofacial or periodontal surgery.

Questionnaire Survey Analysis for Korean Medical Doctors within a Support Project of Korean Medical Treatment in Infertility (전라남도 난임 여성 한방치료 지원 사업에 참여한 한의사를 대상으로 한 설문 연구)

  • Kim, Soo-Hyeon;Lee, Eun-Kyu;Choi, Yoo-Jin;Park, Kyung-Mi;Jo, Seong-Hui;Yang, Seung-Jeong
    • The Journal of Korean Obstetrics and Gynecology
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    • v.32 no.2
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    • pp.18-28
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    • 2019
  • Objectives: The research is aimed at identifying the necessity of the support project of Korean medical treatment in infertility by analyzing the outcome of those subject and providing data for Korean medical treatment in infertility by analyzing the medical treatment of Korean medical doctors involved in the project. Methods: 98 patients who participated in the support project of Korean medical treatment in infertility in Jeollanamdo and 57 Korean medical doctors who participated as therapists were surveyed. Patients were given four months of treatment at local Korean medical clinics. After the treatment was completed, we analyzed the characteristics of the patients' group. And we sent questionnaires to doctors to answer the message. The content of the questionnaire consisted of infertility treatments, a wish for support project. These data were analyzed by frequency and t-test. Results: Analysis of the answer to the questionnaire obtained data on Korean medical treatment in infertility. The most desired thing for future support program was the introduction of husband and wife care. Conclusions: This survey by Korean medical doctors gave us reference data for Korean medical treatment in infertility and the direction in which therapy business should proceed.

Impact of Periodontal Treatment and Demographic and Socioeconomic Factors on Tooth Loss in Persons with Disabilities: An Analysis of Korean National Health Insurance Claims Data

  • Bo-Ra Kim
    • Journal of dental hygiene science
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    • v.23 no.3
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    • pp.225-235
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    • 2023
  • Background: This study aimed to analyze the effects of periodontal treatment and individual- and tooth-related factors on tooth extraction in people with disabilities. Methods: The Korea National Health Insurance claims data of individuals with disabilities aged 40~64 years with chronic periodontitis in 2008 were obtained. Of these, data on the disabled who underwent scaling/root plaining, subgingival curettage/periodontal surgery, or non-periodontal treatments, and data on their teeth were selected. The extraction of 716,688 teeth from 39,097 patients was tracked until 2018, and the patient- and tooth-level factors related to tooth loss were identified using a mixed-effect logistic regression analysis. Results: Data from approximately 17% of the teeth were extracted during a follow-up period of approximately 11 years. Among the tooth-level variables, scaling/root planing treatment at baseline and periodontal treatment during the follow-up period were associated with a lower risk of tooth loss (odds ratio=0.692 and 0.769, respectively, p<0.001). Non-vital teeth increased the risk of tooth loss by 3.159 times (p<0.001). Among the patient-level variables, females were less likely to have lost their teeth than males, and those with orthopedic impairment or brain lesions/mental disabilities, a higher age group, lower income level, or residents in medium/small cities or rural areas were more likely to have lost their teeth (p<0.001). Conclusion: Through approximately 11 years of follow-up, scaling or root planing, experience with periodontal treatment at least once, female sex, older age, lower income, smaller residential areas, type of disability, and pulp vitality were found to be associated with tooth loss in individuals with disabilities aged 40~64 years with chronic periodontitis. To prevent tooth loss in individuals with disabilities, it is necessary to establish a dental treatment plan that considers the timing of periodontal treatment and the characteristics of the patient and teeth.

Withdrawal of Life-Sustaining Treatment from Children: Experiences of Nurses Caring for the Children (간호사의 연명치료중단아동 돌봄경험)

  • Park, So Yeon;Ju, Hyeon Ok;Lee, Ga Eon
    • Child Health Nursing Research
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    • v.23 no.3
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    • pp.364-374
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    • 2017
  • Purpose: The purpose of this study was to describe feelings and actions of nurses following withdrawal of life-sustaining treatment from children being cared for by the nurses. Methods: Data were collected by in-depth interviews with 7 nurses from different hospitals where children receiving nursing care had life-sustaining treatment withdrawn. The interviews were conducted from August 2016 to February 2017 when all data were saturated. Interviews lasted 30~90 minutes and were conducted 2~3 times per participant. Data were analyzed using Giorgi's phenomenological research methodology. Results: The following factors constituted experiences of nurses working in pediatric wards when life-sustaining treatment was withdrawn from children: "agony and conflict in the aspects of care", "heavy mind and regret for exhausting care", "intentionally avoiding parents' sadness", "comforting sadness in the heart" and "orientation in the role of caring for children undergoing withdrawal of life-sustaining treatment." Conclusion: Findings indicate that support systems and intervention programs need to be developed so that nurses can understand and wisely deal with experiences of withdrawal of life-sustaining treatment from children who receive care from nurses.

A Study on Treatment-seeking Behavior of Cancer Patients from Detecting Symptoms to Visiting a Doctor (암환자의 증상 자각 후 병원방문까지의 치료추구행위에 관한 연구)

  • Oh, Hyo-Sook;Park, Hyeoun-Ae
    • Asian Oncology Nursing
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    • v.4 no.1
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    • pp.26-37
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    • 2004
  • The purpose of this study was to determine and test treatment-seeking behavior type and decisional factors of the cancer patients after first detecting symptoms. This study used the methodological triangulation. In the first, treatment-seeking behavior type and decisional factor were described based on qualitative data collected from in-depth interviews with 29 cancer patients. Next, they were tested using quantitative data collected from a structured questionnaire involving 165 cancer patients with statistical method. As a result, treatment-seeking behavior from detecting symptoms to visiting a doctor categorized into immediate visit and delayed visit. The decisional factors on time interval between detecting symptoms and visiting a doctor was influenced by the perceived seriousness of symptoms, the experiences of visiting a doctor previously with similar symptoms, social-group influences on visiting a doctor, barriers to visiting a doctor, and health concerns. There were significant relationship between treatment-seeking time and these factors, however, there was no statistically significant relationship between treatment-seeking time and the demographic characteristics. It is expected that results of this study can be used for nursing education data of cancer patients for early diagnosis after detecting symptoms

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Basic study on development of drinking water treatment process simulators (정수처리공정 시뮬레이터 개발 기초연구)

  • Byun, Yong-Hoon;Shin, Hwi-Su;Kim, Ho-Yong;Jung, Nahm-Chung
    • Journal of Korean Society of Water and Wastewater
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    • v.35 no.5
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    • pp.351-365
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    • 2021
  • Water treatment process simulator is the tool for predicting sequential changes of water quality in a train of unit processes. This predicts the changes through governing equations that represent physicochemical performance of each unit processes with an initial and boundary conditions. Since there is no operational data for the design of a water treatment facility, there is no choice but to predict the performance of the facility by assuming initial and boundary conditions in virtual reality. Therefore, a simulator that can be applied in the design stage of a water treatment facility has no choice but to be built as a numerical analysis model of a deductive technique. In this study, we had conducted basic research on governing equations, inter-process data-flow, and simulator algorithms for the development of simulators. Lastly, this study will contribute to design engineering tool development research in the future by establishing the water treatment theory so that it can be programmed in a virtual world and suggesting a method for digital transformation of the water treatment process.

Operation diagnostic based on PCA for wastewater treatment (PCA를 이용한 하폐수처리시설 운전상태진단)

  • Jun Byong-Hee;Park Jang-Hwan;Chun Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.3
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    • pp.383-388
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    • 2006
  • SBR is one of the most general sewage/wastewater treatment processes and, particularly, has an advantage in high concentration wastewater treatment like sewage wastewater. A Kernel PCA based fault diagnosis system for biological reaction in full-scale wastewater treatment plant was proposed using only common bio-chemical sensors such as ORP(Oxidation-Reduction Potential) and DO(Dissolved Oxygen). During the SBR operation, the operation status could be divided into normal status and abnormal status such as controller malfunction, influent disturbance and instrumental trouble. For the classification and diagnosis of these statuses, a series of preprocessing, dimension reduction using PCA, LDA, K-PCA and feature reduction was performed. Also, the diagnosis result using differential data was superior to that of raw data, and the fusion data show better results than other data. Also, the results of combination of K-PCA and LDA were better than those of LDA or (PCA+LDA). Finally, the fault recognition rate in case of using only ORP or DO was around maximum 97.03% and the fusion method showed better result of maximum 98.02%.

Identification of Cardiovascular Disease Based on Echocardiography and Electrocardiogram Data Using the Decision Tree Classification Approach

  • Tb Ai Munandar;Sumiati;Vidila Rosalina
    • International Journal of Computer Science & Network Security
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    • v.23 no.9
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    • pp.150-156
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    • 2023
  • For a doctor, diagnosing a patient's heart disease is not easy. It takes the ability and experience with high flying hours to be able to accurately diagnose the type of patient's heart disease based on the existing factors in the patient. Several studies have been carried out to develop tools to identify types of heart disease in patients. However, most only focus on the results of patient answers and lab results, the rest use only echocardiography data or electrocardiogram results. This research was conducted to test how accurate the results of the classification of heart disease by using two medical data, namely echocardiography and electrocardiogram. Three treatments were applied to the two medical data and analyzed using the decision tree approach. The first treatment was to build a classification model for types of heart disease based on echocardiography and electrocardiogram data, the second treatment only used echocardiography data and the third treatment only used electrocardiogram data. The results showed that the classification of types of heart disease in the first treatment had a higher level of accuracy than the second and third treatments. The accuracy level for the first, second and third treatment were 78.95%, 73.69% and 50%, respectively. This shows that in order to diagnose the type of patient's heart disease, it is advisable to look at the records of both the patient's medical data (echocardiography and electrocardiogram) to get an accurate level of diagnosis results that can be accounted for.

Cohort Profile: Korean Tuberculosis and Post-Tuberculosis Cohort Constructed by Linking the Korean National Tuberculosis Surveillance System and National Health Information Database

  • Jeong, Dawoon;Kang, Hee-Yeon;Kim, Jinsun;Lee, Hyewon;Yoo, Bit-Na;Kim, Hee-Sun;Choi, Hongjo
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.3
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    • pp.253-262
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    • 2022
  • We aimed to review the current data composition of the Korean Tuberculosis and Post-Tuberculosis Cohort, which was constructed by linking the Korean Tuberculosis Surveillance System (KNTSS; established and operated by the Korean Disease Control and Prevention Agency since 2000) and the National Health Information Database (NHID; established by the National Health Insurance Service in 2012). The following data were linked: KNTSS data pertaining to patients diagnosed with tuberculosis between 2011 and 2018, NHID data of patients with a history of tuberculosis and related diseases between 2006 and 2018, and data (obtained from the Statistics Korea database) on causes of death. Data from 300 117 tuberculosis patients (177 206 men and 122 911 women) were linked. The rate of treatment success for new cases was highest in 2015 (86.7%), with a gradual decrease thereafter. The treatment success rate for previously treated cases showed an increasing trend until 2014 (79.0%) and decreased thereafter. In total, 53 906 deaths were confirmed among tuberculosis patients included in the cohort. The Korean Tuberculosis and Post-Tuberculosis Cohort can be used to analyze different measurement variables in an integrated manner depending on the data source. Therefore, these cohort data can be used in future epidemiological studies and research on policy-effect analysis, treatment outcome analysis, and health-related behaviors such as treatment discontinuation.