• Journal of Environmental Impact Assessment
• /
• v.14 no.4
• /
• pp.179-193
• /
• 2005

As the world's attention turns to sustainability and the considerations of cumulative effects, the concept of Strategic Environmental Assessment(SEA) has become more significant and urgent and increasing number of countries and international organizations now undertake some forms of SEA. The term SEA, however, is variously defined and understood; generally it means a formal process of systematic analysis of the environmental effects on development policies, plans, programmes and other proposed strategic actions. This process extends the aims and principles of EIA upstream in the decision-making process, beyond the project level in which major alternatives are still open. There is a shift toward more integrative approaches and greater use of Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA) as sustainability tools in cooperation with Environmental Management System (EMS). Currently, Korea has EIA system and Prior Environmental Review System (PERS) which is different type of SEA as Environment Assessment (EA) system. APEMI IA MODEL integrated following three pillar(refer to attached figure.1) ; First pillar symbolized decision making cycle with planning process. Second pillar symbolized integrated assessment which tying SEA and EIA with specific impacts assessment(eg: social impact assessment, economic impact assessment, health impact assessment etc) in cooperation with EMS. Third pillar symbolized EA best practical procedure of International Association for Impact Assessment(IAIA). Considering the above, we applied new conceptual model(APEMI IA MODEL) into Impact Assessment for better integrated decision-making in KOREA as an alternative IA system(IS IA MODEL A and B refer to attached figure 4, 5).

• The Journal of the Korean life insurance medical association
• /
• v.2 no.1
• /
• pp.3-16
• /
• 1985

Necessity of life insurance is stronger for people who feel some anxiety of their health. However, in fact, it is not permitted for them to get a contract, because life insurance stands on the mutual benefit system. Life insurance must be impartial to all applicants. However, it is very reasonable that an applicant, who has high medical impairment like heart infarction or cancer, is rejected, to have a contract by underwriting decision. On the other hand, if his medical impairment is not so severe, we might accept his application by giving some restriction. Numericalratingsystem by hunter-rogers gave us one of solutions to this problem. We can keep impartiality by using more restrictive decision, in order that we demand additional payment to the impairment applicant according to his mortality. We call this system as substandard life insurance. In this system we need detail information about impairments of applicants in order to decide the condition of substandard risks. Therefore, medical examiners are required to have high diagnostic technique.

• Journal of the Korea Safety Management & Science
• /
• v.16 no.4
• /
• pp.275-284
• /
• 2014

Decision Tree is one of analysis techniques which conducts grouping and prediction into several sub-groups from interested groups. Researcher can easily understand this progress and explain than other techniques. Because Decision Tree is easy technique to see results. This paper uses CART algorithm which is one of data mining technique. It used 273 variables and 70094 data(2010-2011) of working environment survey conducted by Korea Occupational Safety and Health Agency(KOSHA). And then refines this data, uses final 12 variables and 35447 data. To find satisfaction factor in working environment, this page has grouped employee to 3 types (under 30 age, 30 ~ 49age, over 50 age) and analyzed factor. Using CART algorithm, finds the best grouping variables in 155 data. It appeared that 'comfortable in organization' and 'proper reward' is the best grouping factor.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.5 no.1
• /
• pp.19-31
• /
• 1998

Nursing science is focusing increasingly on family health care. Especially during the launching stage of family the grown-up sons daughters, and middlescent parents daughters have experienced a lot of change. The purpose of this study is to investigate the family health during the launching stage of the family by utilizing the family health assessment tool based on Roy's adaptation model. The Roy adaptation model was used as it is the best practice-based framework for Family Health Nursing Care. The data was collected using a structured questionnaire. The structure of the questionnaire was developed from the Family Health Assessment Tool by S.O. Jang(1996). The sample of 276 subjects was a convenient sample and data was obtained from November 14, 1996 to December 4, 1996. In order to analyze the collected data, this study utilized frequency, percentile, average, ANOVA, Cronbach's, and factor analysis. The results from this research are summarized as follows : 1. The degree of family health is average $95.24{\pm}9.40$ ranged in middle. 2. The significant difference between general characteristics and family health was only revealed with the major decision making person in the family. This research thus suggests the following : 1. The legal system is needed in order to check the family members' health state regularly. 2. With family nursing care, it has to identify who is the major decision maker in that family. 3. There is a need to redefine the family health assessment tool. 4. Further research will attempt to investigate family health in each family's developmental stage.

• Smart Structures and Systems
• /
• v.21 no.2
• /
• pp.225-234
• /
• 2018

E-Health allows you to supersede the central patient wireless healthcare system. Wireless Body Sensor Network (WBSN) is the first phase of the e-Health system. In this paper, we aim to understand e-Health architecture and configuration, and attempt to minimize energy consumption and latency in transmission routing protocols during restrictive latency in data delivery of WBSN phase. The goal is to concentrate on polling protocol to improve and optimize the routing time interval and schedule communication to reduce energy utilization. In this research, two types of network models routing protocols are proposed - elemental and clustering. The elemental model improves efficiency by using a polling protocol, and the clustering model is the extension of the elemental model that Destruct Supervised Decision Tree (DSDT) algorithm has been proposed to solve the time interval conflict transmission. The simulation study verifies that the proposed models deliver better performance than the existing BSN protocol for WBSN.

• International Journal of Computer Science & Network Security
• /
• v.21 no.3
• /
• pp.177-184
• /
• 2021

All over the world, people are affected by many chronic diseases and medical practitioners are working hard to find out the symptoms and remedies for the diseases. Many researchers focus on the feature detection of the disease and trying to get a better health recommendation system. It is necessary to detect the features automatically to provide the most relevant solution for the disease. This research gives the framework of Health Recommendation System (HRS) for identification of relevant and non-redundant features in the dataset for prediction and recommendation of diseases. This system consists of three phases such as Pre-processing, Feature Selection and Performance evaluation. It supports for handling of missing and noisy data using the proposed Imputation of missing data and noise detection based Pre-processing algorithm (IMDNDP). The selection of features from the pre-processed dataset is performed by proposed ensemble-based feature selection using an expert's knowledge (EFS-EK). It is very difficult to detect and monitor the diseases manually and also needs the expertise in the field so that process becomes time consuming. Finally, the prediction and recommendation can be done using Support Vector Machine (SVM) and rule-based approaches.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.66-73
• /
• 2013

Analytical Hierarchy Process (AHP) is a famous method amongst Multi Criteria Decision Making (MCDM), set up by Saaty in 1980. AHP can be determined as a methodology of hierarchical analysis following reasonable decision making with make simpler a difficult crisis. Decision making in systems of Safety management concerned multipart challenges. AHP is process for get better the composite decisions understanding with analyzes of the problem in a structure of hierarchy. The integration all of applicable decision criteria, their pair wise judgment permits the decision maker to establish the trade-offs amongst objectives. In recent years, Malaysian's economy and infrastructure development have significantly and rapidly risen. The construction industry continues to play a major role in this development as many construction activities have been carried out to meet the high demands of the expansive market. However, the construction industry has faced a wide range of challenges, one of which is the frequent occurrences of accidents at the workplace. An effective safety program can substantially reduce accidents because it can help management to build up safer means of operations and create safe working environments for the workers. Furthermore, by having an effective safety programs, good safety culture can be embedded in organization because it can encourage mutual cooperation between management and workers in the operations of the programs and decisions that affect their safety and health. The focus of this research is development methodology of Analytics Hierarchy Process (AHP) in construction safety factors and investigates the levels of some effective elements in SMS in Malaysian construction industries.

• The Journal of Health Technology Assessment
• /
• v.6 no.2
• /
• pp.81-87
• /
• 2018

With the recent change of healthcare environment including rapid technological development, evidences are more and more important and necessary to support relevant policies in health technology assessment to provide safe and effective health services, utilizing medical resources efficiently. Despite of the emphasis on the importance of real world data and real world evidence in health care research, current infrastructure supporting clinical research is considerably weak due to absence of legal and institutional basis. However, in accordance with the Article 26 of the Health and Medical Technology Promotion Act, there is a limited legal apparatus that can be used only in public data with other dataset for the purpose of healthcare technology assessment at the National Evidence-based Collaborating Agency. Although the use of linked data from various sources was often required in the field of clinical research, it was not yet working well due to insufficient environmental conditions. In order to support the decision-making of medical practice and health care policies, data-linking platform for clinical research is needed. If the legal system that can link up to the data of the private institutions without violating the significant value such as the protection of private informations is established, it will be a decisive foundation reinforcing the researches and policy making processes for the improvement of the national health care system.

• The Korean Society of Law and Medicine
• /
• v.8 no.2
• /
• pp.119-164
• /
• 2007

Improving the formal objection system regarding reviewing medical expenses requires authority and confidence in the aspect of well-functioning the health insurance review and assessment system, legally and appropriately. The purposes of improvement of the formal objection system should aim for protecting the people's right of health. On handling the formal objections, the disputes of the rights should be settled economically and promptly by fairness, specialty, and objectivity in the health insurance review and assessment administration. Therefore, in order to promote the administrative specialty of health insurance, the formal objection committee needs to be organized independently and guaranteed expertly. Under the current formal objection system, however, the organization of committee lacks right-relief function, recognition and public relation as a health insurance appeal system, and related professional man powers. It is also analyzed that there are several controversial points, such as mass deliberation to the formal objection committee and its conference procedure. As a measure of improvement, it is analyzed that the committee needs to be organized independently with a proper number of professional man powers. The strict deliberation procedures and the prohibition of the decision-making by non-conference are also required to be empowered. The formal objection procedure provides the beneficiaries and the claims legitimately, so that it secures the legal relations on the health insurance system. Therefore, on the conference process of formal objection, the expert and guaranteed protection should be provided promptly, and its procedures to the appellants should also be assisted kindly.

• Journal of Computing Science and Engineering
• /
• v.6 no.1
• /
• pp.51-59
• /
• 2012

We describe the framework of a data-fuelled, interdisciplinary team-led learning system. The idea is to build models using patients from one's own institution whose features are similar to an index patient as regards an outcome of interest, in order to predict the utility of diagnostic tests and interventions, as well as inform prognosis. The Laboratory of Computational Physiology at the Massachusetts Institute of Technology developed and maintains MIMIC-II, a public deidentified high- resolution database of patients admitted to Beth Israel Deaconess Medical Center. It hosts teams of clinicians (nurses, doctors, pharmacists) and scientists (database engineers, modelers, epidemiologists) who translate the day-to-day questions during rounds that have no clear answers in the current medical literature into study designs, perform the modeling and the analysis and publish their findings. The studies fall into the following broad categories: identification and interrogation of practice variation, predictive modeling of clinical outcomes within patient subsets and comparative effectiveness research on diagnostic tests and therapeutic interventions. Clinical databases such as MIMIC-II, where recorded health care transactions - clinical decisions linked with patient outcomes - are constantly uploaded, become the centerpiece of a learning system.