• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5593-5596
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• 2014

Background: The objective of this study was to determine a diagnostic classification scheme using a decision tree based model. Materials and Methods: The study was conducted as a retrospective case-control study in Imam Khomeini hospital in Tehran during 2001 to 2009. Data, including demographic and clinical-pathological characteristics, were uniformly collected from 624 females, 312 of them were referred with positive diagnosis of breast cancer (cases) and 312 healthy women (controls). The decision tree was implemented to develop a diagnostic classification scheme using CART 6.0 Software. The AUC (area under curve), was measured as the overall performance of diagnostic classification of the decision tree. Results: Five variables as main risk factors of breast cancer and six subgroups as high risk were identified. The results indicated that increasing age, low age at menarche, single and divorced statues, irregular menarche pattern and family history of breast cancer are the important diagnostic factors in Iranian breast cancer patients. The sensitivity and specificity of the analysis were 66% and 86.9% respectively. The high AUC (0.82) also showed an excellent classification and diagnostic performance of the model. Conclusions: Decision tree based model appears to be suitable for identifying risk factors and high or low risk subgroups. It can also assists clinicians in making a decision, since it can identify underlying prognostic relationships and understanding the model is very explicit.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.1
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• pp.161-176
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• 2005

In a situation that ordinal preferences on multiattribute weights are captured, we present two solution approaches: an exact approach and an approximate method. The former, an exact solution approach via interaction with a decision-maker, pursues the progressive reduction of a set of non-dominated alternatives by narrowing down the feasible attribute weights region. Subsequent interactive questions and responses, however, sometimes may not guarantee the best alternative or a complete rank order of a set of alternatives that the decision-maker desires to have. Approximate solution approaches, on the other hand, can be divided into three categories including surrogate weights methods, dominance value-based decision rules, and three classical decision rules. Their efficacies are evaluated in terms of choice accuracy via a simulation analysis. The simulation results indicate that a proposed hybrid approach, intended to combine an exact solution approach through interaction and a dominance value-based approach, is recommendable for aiding a decision making in a case that a final choice is seldom made at single step under attribute weights that are imprecisely specified beyond ordinal descriptions.

• Perspectives in Nursing Science
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• v.12 no.1
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• pp.42-49
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• 2015

Purpose: The purpose of this study was to investigate nursing students' awareness of career decision-making self-efficacy, career search behavior and commitment to career choice. Methods: Data were collected using a self-report questionnaire from 397 nursing students in D city from October 1 to October 8, 2014. Results: The average score of career decision-making self-efficacy, career search behavior and commitment to career choice was 3.42, 3.08 and 3.27 on a Likert 5 point-scale respectively. Career decision-making self-efficacy and career search behavior were significantly different according to grade of subject. There were positive correlations between career decision-making self-efficacy, career search behavior and commitment to career choice. Conclusion: It is necessary to develop an effective career support program from 1st grade to improve nursing student's career decision-making self-efficacy, career search behavior and commitment to career choice.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.2
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• pp.61-76
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• 1995

The "optimal" solution for a decision making problem should be the one that best reflects the decision-maker's preference. For MADM (Multi-Attribute Decision-Making) problems, however, finding an optimal solution is difficult, especially when the number of alternatives, or that of attributes is relatively large. Most of the existing mathematical approaches arrive at a final solution on the basis of many unrealistic assumptions, without reflecting the decision-maker's preference structure exactly. To remedy this, some interactive methods have been proposed, but most of them require a large amount of information growing exponentially as the number of alternatives, or that of attributes increases. Therefore it is difficult for the decision-maker to maintain consistency throughout the decision making process. In this paper, an interactive method which finds optimal solutions for deterministic MADM problems with many attributes and alternatives is proposed. Instead of considering all the attributes simultaneously, this method partitions all the attributes into several mutually independent subgroups and considers one of them at each of preordered steps, where the alternatives are eliminated until the optimal one is obtained. The efficiency of the method lies in the fact that the amount of neccessary information is reduced significantly, and even further if a suboptimal solution is acceptable to the decision-maker.ion-maker.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.151-156
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• 2020

Small and medium enterprises (SMEs) play a very important role in developing countries. In Vietnam, SMEs operating in the field of handicrafts, besides contributing to the economy, also tasked to maintain and develop traditional handicrafts. However, accessing loans from banks of SMEs faces many difficulties. This study explores the determinants of bank lending decision for SMEs, particular, in traditional handicrafts business. Using dataset based on a survey conducted in Binh Duong province, Vietnam, we investigated to what determinant effects for loan approval. The analytical methods used include descriptive statistics for overall assessment, principal component analysis and regression to examine determinants of lending decisions. The results indicate that company's collateral was the most positive determinant to bank lending decision, follow by company's business plan. The role of company's leader is very important for banks considers to approve credit because company's leaders experience and relationship with stakeholders as well as banks have positive relations with bank's lending decision. Agreed with previous studies, the company's financial statement and company's credit history with banks are also significant determinants for lending decision. Whereas, the business environment seam unaffected lending decision as their relations is not significant..

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.1
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• pp.116-129
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• 2011

Purpose: The purpose of this study was to develop a computer decision making support system that enables nurses to utilize the computer in selecting the best decision for pain management for patients with dementia institutionalized in nursing homes. Methods: To formulate the protocol for the management of patients' pain, the researcher analyzed content of interviews with 30 nurses in three nursing homes and an expert group. A decision support computer program was formalized based on existing protocols. To evaluate the effectiveness and applicability of the system, analysis of data on patient pain management and nurse satisfaction with the system were done after the formalized decision support computer program was complete. Results: The decision support computer program for pain management for institutionalized patients with dementia was finalized after adjustments following the evaluation. Nurse satisfaction with the program was moderate. It also provided opportunity to reassess thinking about pain and pain management. Conclusions: The results indicate that this program provides nurses with useful knowledge for pain management in institutionalized patients with dementia and aids in decision making in nursing practice in nursing home.

• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.601-612
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• 2019

Purpose: The purpose of this study was to construct and test a hypothetical model of clinical decision-making ability of nurses based on the Decision Making Process model and the Cognitive Continuum theory. Methods: The data were collected from nurses working at 11 hospitals in Busan, Daejeon, and South Gyeongsang Province from June 30 to August 1, 2017. Finally, the data from 323 nurses were analyzed. Results: The goodness-of-fit of the final model was at a good level ($x^2/df=2.46$, GFI=.87, AGFI=.84, IFI=.90, CFI=.90, SRMR=.07, RMSEA=.07) and 6 out of 10 paths of the model were supported. The clinical decision-making ability was both directly and indirectly affected by task complexity and indirectly affected by experiences, autonomy, and work environment. Specifically, it was strongly directly affected by analytical competency but was insignificantly affected by intuitive competency. These variables accounted for 66.0% of clinical decision-making ability. Conclusion: The nurses' clinical decision-making ability can be improved by improving their analytical competency. Therefore, it is necessary to organize nursing work, create a supportive work environment, and develop and implement various education programs.

• Journal of muscle and joint health
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• v.30 no.1
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• pp.48-57
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• 2023

Purpose: The purpose of this study was to examine nurses' critical thinking disposition and knowledge sharing activity and professional work environment on clinical decision-making ability. Methods: The data collection period for this study was from May 24 to May 31, 2021. The data were collected from 167 nurses who consented to participate in this study and have worked for more than one year at general hospital in Seoul. The data were analyzed using the SPSS/WIN 25.0 program. Results: A significant positive correlation was found between clinical decision-making ability and critical thinking disposition, knowledge sharing activity, and a professional work environment. Critical thinking disposition (β=.32, p<.001), knowledge sharing activitiy (β=.24, p=.002) and professional work environment (β=.20, p=.006) had a significant effect on clinical decision-making ability. These factors explained 35.5% of clinical decision-making ability (F=24.22, p<.001). Conclusion: Therefore, in order to develop the critical thinking disposition of nurses, development of systematic educational programs and strategies for practical application are needed. Through this, nurses can improve the professional decision-making ability and clinical performance ability.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.64-67
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• 2004

Change detection using aerial and satellite images is one of the important research topics in photogrammetry and image interpretation. It is of particular importance especially in the fields of military, political and administrative affairs. When there is a need to detect changes in multi-temporal images, the most efficient methods for change detection and thresholds of change/no change area need to be chosen. Also, the images obtained from the various methods need to be analyzed. To do so, we need a system that can support our decision making process. Therefore, in this paper, we propose the Decision Support System for Change Detection. This system is composed of Data Base, Model Base and Graphic User Interface(GUI). Data base is a compilation of previous change detection results, and Model Base comprise of numerous operations. The data can be input and have the results of change detection analyzed by using GUI. In this paper, we will explain the entire operation of the system and demonstrate the level of its effectiveness.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.231-240
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• 2020

E-commerce development led to the explosion of online payment. Consumers have many choices when deciding on the online payment method for each transaction. Using a combination of both qualitative and quantitative methods with the help of SPSS AMOS version 22.0, the article explores the factors that influence consumers' online payment method decision behavior in Vietnam. Research results show that awareness of usefulness, awareness of risk, awareness of trust, awareness ease of use, product uncertainly perception and perceived behavioral control have effects on the behavior of deciding on online payment methods. Awareness of risk has the strongest negative impact on online payment method decision behavior and awareness of usefulness has the strongest positive impact on online payment method decision behavior. Based on these important results, the article proposes a number of implications: (i) continuing to invest and upgrade modern technology to ensure customer information absolutely confidential; (ii) converting all ATM cards on the market to EMV chip standard card technology; (iii) improving service activities, quickly handle things to create confidence for customers; (iv) credit institutions operating in the field of online payment linked to e-commerce sites, supermarkets, convenience stores, restaurants must ask partners to increase transparency for the products.