• 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.

• 한국전자거래학회지
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• 제13권2호
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• pp.213-223
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• 2008

오늘날 XML 웹 서비스의 보급에 따라 많은 양의 서비스로부터 적합한 서비스들을 발견해 내는 문제는 중요한 문제로 부각되고 있다[7, 24]. 본 논문에서는 의미론적인 서비스 발견을 행하는 기존 연구와 다르게 구문적인 방법으로 서비스 발견 문제에 접근한다. 우리는 웹서비스 발견의 문제를 레지스트리에 저장된 웹 서비스 설명 정보들에 대한 정보 검색의 문제로 인식하고, 웹 서비스와 질의의 모델링과 유사도 측정을 통한 검색 기법을 고안하였다. 이 서비스 설명정보는 특정 구조를 가지는 XML 문서이며, 본 논문에서는 이를 대상으로 한 키워드 질의를 통해 서비스 발견을 수행한다. 본 논문의 특징은 다음과 같다. 사용자는 키워드 질의를 통해 순위화된 서비스 검색 결과를 제공받을 수 있다. 서비스 검색에 있어 기존 기법들과 달리 UDDI 레지스트리에 저장된 서비스 설명 정보와 WSDL 서비스 정의 모두를 활용한다. 또한 시스템은 기존 관계형 DBMS의 기능을 이용하여 구현됨으로써 의미적인 서비스 발견에 비해 구현이 용이하고, DBMS의 여러 장점을 취할 수 있다.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• 대한예방한의학회지
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• 제7권2호
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• pp.45-64
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• 2003

This study was conducted to examine the recognition level of the people on oriental medical Services and the need for it's improvement. Data were collected from 1174 residents in Daegu metropolitan city and Gyungbuk province. According to the satisfaction level with each items of oriental medical services, the respondents had positive views on efficacy, kindness, and side-effects. They, however, had negative view on the cost of oriental medical services. In regarding to the priority of improvement of oriental medical system, 'expansion of insurance benefit package' ranked first. Followed by 'safety of herbal medicine(heavy metal/pesticides)', 'improvement of scientific methods and diagnostic technique' etc. For the further development of oriental medical services in the consumer - focused and evidenced-based health care environment, much attention to implement relevant health policy reflecting user's need positively should be made.

• 한국해양공학회지
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• 제22권3호
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• pp.47-57
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• 2008

Many accidents occur on the oceans. Accidents involving ships can cause enormous damage. When an accident occurs, the cost of environmental restoration can bankrupt even a top-ranked international company. The potential damages resulting from ship accidents have resulted in many international agreements such as MARPOL, SOLAS, ISM Code, etc. The viability of damaged ships has become more and more important. A damaged ship's viability and cargo safety can be improved by a safety assessment design procedure. We consider th￡ shipbuilding industry's distributed characteristics to define a safety assessment system with software engineering-based requirements analysis. We used a distributed network-based simulation method (HLA - High level architecture), because of ease of reuse and expansion of existing components to other situations, and because it is a military standard. HLA is the standard for distributed network-based simulation in many countries including the United States, Canada, Israel, and Korea. The paper describes research to develop a prototype of a network-based safety assessment simulation system by software engineering based analysis.

• 한국군사과학기술학회지
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• 제20권4호
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• pp.579-586
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• 2017

The defense industry has become a global industry, and military technology is actively being traded between countries to increase their military capabilities. The Republic of Korea has been ranked one of the top 10 countries for exports of military technology. To maintain competitive advantages in the global defense industry, it is essential to protect key technologies employed by exported weapon systems. Various techniques have been developed for protection of confidential technologies in weapon systems, and the U.S. DoD has been leading the development of the protection techniques. This paper reviews current anti-tampering techniques that prevent leakage of key technology from weapon exportation or pillage. Based on the protection techniques employed by the U.S. DoD Anti-Tamper Executive Agent, this paper suggests novel design methods for protection of confidential technologies. The proposed design methods were tested on an actual weapon system.

• 임상간호연구
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• 제23권1호
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• pp.83-90
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• 2017

Purpose: This study was to develop evidence-based clinical practice guideline in order to prevent contrastinduced nephropathy (CIN) for patients undergoing percutaneous coronary intervention (PCI). Methods: The guideline was developed based on the "Scottish Intercollegiate Guidelines Network (SIGN)". The first draft of guideline was developed through 5 stages and evaluated by 10 experts.(1) Clinical questions were ensured in PICO format.(2) Two researchers conducted a systematic search through electronic database, identifying 170 studies. We selected 27 full text articles including 16 randomized clinical trials, 7 systematic reviews, and 4 guidelines. Quality of each studies were evaluated by the Cochran's Risk of Bias, AMSTAR, K-AGREEII. Among the studies, 11 studies were excluded.(3) The strength of recommendations were classified and quality of recommendations were ranked.(4) Guideline draft was finalized.(5) Content-validation was conducted by an expert group. All contents were ranked above 0.8 in CVI. Results: Evidence-based clinical practice guideline to prevent CIN was dveloped.(1) The guideline for preventing CIN recommends using 0.9% saline.(2) Standardized rate of fluid therapy is 1 to 1.5ml/kg/hr.(3) Execute hydration for 6~12hrs before PCI and after PCI. Conclusion: This study suggests evidence-based clinical practice guideline for preventing CIN which can be more efficiently used in clinical practice.

• 한국콘텐츠학회논문지
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• 제7권5호
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• pp.174-183
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• 2007

최근 국내 호텔산업은 중국시장을 포함하여 아시아 시장으로 급속히 확대되고 있다. 그러나 원화가치의 상승, 부동산비용의 증가로 경쟁력이 떨어지고 있다. 이런 상황을 극복하기위해서 호텔상품을 차별화하고, ERP시스템의 도입을 통해 경쟁력을 강화하고자 노력하고 있다. 그러나 ERP시스템은 도입 비용이 크고, 성공률이 낮아 위험도가 매우 높다. 따라서 투자 이전에 성공 요인의 분석과 효과 예측이 필수적이다. 따라서 본 연구에서는 호텔 기업의 ERP시스템 구축에 대한 투자 효과의 예측 방법과 사례를 통한 이해를 돕고자 하였다. 연구 기반 이론은 ERP시스템의 투자 효과를 측정할 수 있는 사전 연구와 Saaty가 제시한 AHP기법의 이론이다. 연구의 사례는 특급 호텔인 R호텔을 기준으로 분석하였다. 본 연간의 중요성은 호텔 기업이 ERP시스템을 도입함에 있어 효과를 예측하는 방법론을 제시한 것이다.

• Journal of Multimedia Information System
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• 제8권4호
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• pp.233-242
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• 2021

Various anatomical MRI imaging biomarkers for Alzheimer's Disease (AD) identification have been recognized so far. Cortical and subcortical volume, hippocampal, amygdala volume, and genetics patterns have been utilized successfully to diagnose AD patients from healthy. These fundamental sMRI bio-measures have been utilized frequently and independently. The entire possibility of anatomical MRI imaging measures for AD diagnosis might thus still to analyze fully. Thus, in this paper, we merge different structural MRI imaging biomarkers to intensify diagnostic classification and analysis of Alzheimer's. For 54 clinically pronounce Alzheimer's patients, 58 cognitively healthy controls, and 99 Mild Cognitive Impairment (MCI); we calculated 1. Cortical and subcortical features, 2. The hippocampal subfield, amygdala nuclei volume using Freesurfer (6.0.0) and 3. Genetics (APoE ε4) biomarkers were obtained from the ADNI database. These three measures were first applied separately and then combined to predict the AD. After feature combination, we utilize the sequential feature selection [SFS (wrapper)] method to select the top-ranked features vectors and feed them into the Multi-Kernel SVM for classification. This diagnostic classification algorithm yields 94.33% of accuracy, 95.40% of sensitivity, 96.50% of specificity with 94.30% of AUC for AD/HC; for AD/MCI propose method obtained 85.58% of accuracy, 95.73% of sensitivity, and 87.30% of specificity along with 91.48% of AUC. Similarly, for HC/MCI, we obtained 89.77% of accuracy, 96.15% of sensitivity, and 87.35% of specificity with 92.55% of AUC. We also presented the performance comparison of the proposed method with KNN classifiers.

• 한국의료질향상학회지
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• 제5권2호
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• pp.224-237
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• 1998

Background : This is an investigative study to analyse the importance of works perceived by Quality Improvement(QI) Coordinators and to evaluate their current work performances using the questionnaires developed by the investigator. Methods : The data were collected from 37 subjects over two weeks period from Oct. 1 to Oct. 17, 1998 and analysed by the descriptive statistics of SPSS program. The items of questionnaire are consisted of 13 work domains including 73 activities based on Quality Management(QM) Coordinator's job description of National Association for Healthcare Quality:data collection & analysis, communication, monitoring, evaluation, accreditation, tool development, policy development, program development, self development, education & trainning, system design, planning, and consultation & support. Results : 1) Of the performances in 13 work domains, the frequencies of the work performed were accreditation(89%), planning(88%), communication(83%), data collection & analysis(82%), monitoring(76%), policy development(72%), consultation & support (71%), education & trainning(70%), self development(68%), evaluation(63%), tool development(61%), program development(44%) and system design(43%) in order. 2) For the importances (1=not important, 5=very important), the policy development(4.46) scored highest then monitoring(4.42), planning(4.41), education & trainning(4.38), communication(4.35), evaluation(4.34) tool development (4.30), data collection & analysis(4.29), program development(4.22), consultation & support(4.22), accreditation(4.15), self development(4.05) and system design(3.98) in order. 3) There was a difference between the work performance and the perceived importance. The results showed the low performances in policy development, monitoring, education & trainning and evaluation which ranked high by the perceived importance and the high performances in accreditation, data collection & analysis, self development, communication and consultation & support which ranked middle to low by the perceived importance. 4) The reasons for low performances of QI Coordinators were the lack of clear assignment for the responsibility and allowed authority for work to QI Coordinators(30.8%), insufficient member of QI Coordinators(13.9%), lack of hospital director's interest(11.5%), low motivation of QI Coordinators (10.6%) and insufficient knowledge & experience of QI Coordinators (8.8%). Conclusion : Most works were perceived important by QI Coordinators, but there was a difference in the work performance. The works performed over 70% were related with accreditation, data collection & analysis, communication, planning and monitoring, on the other hand under 50% in performances were related with system design, program development, tool development and evaluation.