• 한국융합학회논문지
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• 제10권3호
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• pp.23-30
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• 2019

본 연구는 당뇨병 치료제 후보약물 정보를 이용하여 항당뇨에 영향을 미치는 물질구조를 발견하는데 목적이 있다. 정량적구조 활성관계를 이용한 기계 학습 모델을 만들고 부분최소자승 알고리즘을 통해 실험데이터 별로 결정계수를 파악한 후 변수중요도척도를 활용하여 주요 분자표현자를 도출하였다. 연구 결과, 후보약물 구조정보를 반영한 molecular access system fingerprint 데이터로 분석한 결과가 in vitro 데이터를 이용한 분석 결과보다 설명력이 높았으며, 항당뇨에 영향을 미치는 주요 분자표현자 역시 다양하게 도출할 수 있었다. 제안된 항당뇨 예측 및 주요인자 분석 방법을 활용한다면 유사한 과정을 반복 실험하는 기존 신약개발 방식과는 달리, 많은 비용과 시간이 소요되는 후보물질 스크리닝 (screening) 기간을 최소화하고, 신약개발 탐색기간도 단축하는 계기가 될 수 있을 것으로 기대한다.

• 가정간호학회지
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• 제8권1호
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• pp.62-73
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• 2001

This study was conducted to develop a home care nursing management system based on the validated and useful data base found through literature review. The contents and structure according to a development procedure for a computer system were as follows. 1. A data base on home care nursing patients was accumulated by putting data respectively in both steps and fields - from selection criteria. basic information. prescription. plan of home visits. to application of nursing process. 2. Accumulated data was classified and designed to search by basic information. drug/injection prescription. examination prescription, treatment prescription. supply. and a record of the nursing process. 3. Various forms of retrieval including graphs were elaborated in terms of diagnosis and intervention aspects.

• 한국임상약학회지
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• 제14권1호
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• pp.36-45
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• 2004

• 보건교육건강증진학회지
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• 제15권2호
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• pp.23-42
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• 1998

The purpose of this study is to show that, before registration of chronic degenerative diseases and enforcing management system in health centers, the management of hypertension could achieved comprehensively and continuously by knowing the realities of drug-taking and its related factors those who are being cared for in health centers. For one year, a questionnaire about drug-taking realities of hypertensive patient was distributed at 8 health centers in Taegu from March 24. 1997 to April 24. 1997. The questionnaires were then collected and analysed. The results are as follows: Of 691 patients, 77.4% of patient were taking medicine regularly every day. The reasons why patients weren't taking medicine every day was as follows: the blood pressure became normal(34%, the highest of the group), patients forgot(28.2%), it was difficult to buy the medicine(15.4%), there was no effect even though the patient took medicine continuously. The experience of medical treatment outside of health centers was 28.9%. The types and percentages of alternative medicine are herbs (50.5%), health food(24.5%), folk remedy(13.7%). Among them, 44.6% of patients didn't know if the medicine was effective. Medical treatment places excluding health centers was pharmacies(63.5%-the highest rate). In simple analysis, the older one was the more regularly one took the medicine, but there was no statistical relations. Of health activities, patients eating low-salt diet showed that they took the medicine regularly. Nonsmoking patients and those who experienced drug side-effect and those who doubted doctor's prescriptions and instructions showed that they took alternative, excluding modem medicine. Anti-hypertensive drug medication status according to recognition, attitude, experiences of hypertension showed that patients who thought that they should take anti-hypertensive drug during the whole life time took the medicine regularly(82.3%). The reasons for patients turning to alternatives varied. In case of having subjective symptom(34.1%), those who thought they knew the hypertension well(36.6%), they decided to use alternatives. In multiple logistic regression analysis the key statistics were as follows: The older patients, patients who ate low-salt diet, patients who thought that they should take anti-hypertensive drug during the whole life time, all showed that they took medicines regularly. And also patients who experienced drug side-effect, doubted prescriptions and instructions, and patients who had subjective symptoms, patients who thought that he knew the hypertension very well, all showed higher rate of using alternative medicine. In the future, at the health centers, to register and manage hypertension patients effectively, we must educate patients about regular drug-taking, and alternatives without doctor's prescriptions.

• 보건행정학회지
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• 제27권2호
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• pp.128-138
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• 2017

Background: The purpose of this study is to analyze the effects of differential coinsurance policy on prescription drug coverage of outpatients by types of medical institutions. Methods: In this study, we used a sample cohort database of the National Health Insurance Service and frequency analysis and marginal logistic regression model using generalized estimating equation were used for statistical analysis. Results: The summary on the major research is followed. First, about 16% of patients who used only tertiary or general hospital due to 52 ambulatory care sensitive conditions before policy implementation moved to hospitals and clinics. However, about 57% of them still use tertiary or general hospital. Second, the factors influencing the utilization of hospitals and clinics after the implementation of the policy were gender, age, and income level. As a result, the policy is effective to reduce the medical use of outpatient mental patients in tertiary or general hospital, but the effect is not significant. Conclusion: Therefore, in order to achieve the purpose of the policy for establishing the health care delivery system, it is necessary to adjust the co-payment so as to feel the burden on the co-payment when the outpatient for 52 ambulatory care sensitive conditions is used at the tertiary or general hospital.

• Fisheries and Aquatic Sciences
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• 제22권12호
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• pp.29.1-29.7
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• 2019

Veterinary drugs are widely used to protect production-related diseases and promote the growth of farmed fish. The use of large amounts of veterinary drugs may have potential risk and cause adverse effects on both humans and the environment. In this study, we developed risk-based ranking based on a scoring system to be applied in the national residue program. In this approach, the following three factors of veterinary drugs that may occur as residues in fishery products were considered: potency (acceptable daily intake), usage (number of dose and withdrawal period), and residue occurrence. The overall ranking score was calculated using the following equation: potency × usage (sum of the number of sales and withdrawal period) × residue occurrence. The veterinary drugs that were assigned high score by applying this approach were enrofloxacin, amoxicillin, oxolinic acid, erythromycin, and trimethoprim. The risk-based approach for monitoring veterinary drugs can provide a reliable inspection priority in fishery products. The developed ranking system can be applied in web-based systems and residuemonitoring programs and to ensure safe management of fishery products in Korea.

• 한국식품위생안전성학회지
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• 제25권2호
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• pp.162-169
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• 2010

식품위생법개정에 의한 음식점 식육 원산지 표시제가 시행됨에 따라 표시제도의 정착을 위해 마련한 과학적 한우판별 시험법을 이용하여 소고기 원산지 표시제에 대한 실패를 전국적 규모로 점검하였다. 본 연구에 사용한 한우판별시험법은 앞선 사업에서 검증된 90개의 한우판별용 SNP 바이오마커를 이용한 시험방법으로 소고기원산지표시제의 제도정착에 큰 기여를 하고 있다. 2009년도 식품안전관리지침에 계획도니 음식점 소고기 원산지 표시제 시행 대상 음식점으로는 구이용 쇠고기 판매 음식점으로서 영업장 면접이 $100m^2$이상인 곳 가운데 서울지역 48개 시료 및 지방 168개 시료 등 총 216건에 대하여 원산지 표시실태 모니터링 검사를 실시하였으며, 그 결과 총 검체의 1.3% (3건/216건)가 허위표시임이 파악되었다. 이는 2008년도의 모니터링 검사를 통하여 확인한 허위표시 비율인 5.14%에 비해 감소한 결과로 "음식점식육원산지표시제"가 점차 정착되고 있는 것으로 판단된다. 또한, 한우판별시험법이 마련되기 전 실시했던 음식점 소고기 원산지 표시에 대한 모니터링 실시결과 2005년 34.0%, 2006년 30.1%으로 나타난 반면 한우판별시험법이 확립된 후 모니터링 결과는 2007년도 3.2%, 2008년도 5.14%으로 나타나 한우판별시헙법의 확립이 음식점 소고기 원산지 표시제에 큰 기여를 하고 있음을 증명해 주고 있다.

• 한국식품과학회지
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• 제36권4호
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• pp.527-530
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• 2004

Adulteration of sesame oil using near infrared (NIR) spectroscopy was determined. Vegetable oils including sesame oil were scanned on the NIR spectrophotometer at 400-2500 nm. Partial least square (PLS) was applied on the standardized full NIR spectral data. Discriminant analysis with PLS is adequate for determination of sesame oil adulteration, except with decreasing adulteration rate. Designing of quality control system, which uses NIR spectroscopy to measure adulteration level of sesame oil is thus possible, although more work is required to give acceptable accuracy level.

• 한국임상약학회지
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• 제30권3호
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• pp.143-148
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• 2020

Objective: This study aimed to investigate pharmaceutical care for critically ill neonates and suggest targeted strategies compatible with the Korean health-system pharmacy. Methods: Articles that reported pharmacy practices for critically ill neonates were reviewed. Pharmaceutical care practices and roles of neonatal pharmacists were identified, and criteria were developed for neonates in need of specialized care by clinical pharmacists. Results: Neonatal pharmacists play many roles in the overall medication management pathway. For clinical decision support, multidisciplinary ward rounds, clinical pharmacokinetic services, and consultation for pharmacotherapy and nutrition support were conducted. Prevention and resolution of drug-related problems through review of medication charts contributed to medication safety. Pharmaceutical optimization of intravenous medication played an important role in safe and effective therapy. Information on the use of off-label medicine, recommended dosage and dosing schedules, and stability of intravenous medicine was provided to other health professionals. Most clinical practices for neonates in Korea included therapeutic drug monitoring and nutrition support services. Reduction in medication errors and adverse drug reactions, shortening the duration of weaning medicines, decreasing the use and cost of antimicrobials, and improvement in nutrition status were reported as the outcomes of pharmacist-led interventions. The essential criteria of pharmaceutical care, including for patients with potential high-risk factors for drug-related problems, was developed. Conclusion: Pharmaceutical care for critically ill neonates varies widely. Development and provision of standardized pharmaceutical care for Korean neonates and a stepwise strategy for the expansion of clinical pharmacy services are required.

• 한국임상약학회지
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• 제27권4호
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• pp.221-227
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• 2017

Background: As personalized healthcare industry has attracted much attention, big data analysis of healthcare data is essential. Lots of healthcare data such as product labeling, biomedical literature and social media data are unstructured, extracting meaningful information from the unstructured text data are becoming important. In particular, text mining for adverse drug reactions (ADRs) reports is able to provide signal information to predict and detect adverse drug reactions. There has been no study on text analysis of expert opinion on Korea Adverse Event Reporting System (KAERS) databases in Korea. Methods: Expert opinion text of KAERS database provided by Korea Institute of Drug Safety & Risk Management (KIDS-KD) are analyzed. To understand the whole text, word frequency analysis are performed, and to look for important keywords from the text TF-IDF weight analysis are performed. Also, related keywords with the important keywords are presented by calculating correlation coefficient. Results: Among total 90,522 reports, 120 insulin ADR report and 858 tramadol ADR report were analyzed. The ADRs such as dizziness, headache, vomiting, dyspepsia, and shock were ranked in order in the insulin data, while the ADR symptoms such as vomiting, 어지러움, dizziness, dyspepsia and constipation were ranked in order in the tramadol data as the most frequently used keywords. Conclusion: Using text mining of the expert opinion in KIDS-KD, frequently mentioned ADRs and medications are easily recovered. Text mining in ADRs research is able to play an important role in detecting signal information and prediction of ADRs.