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Özcan Asilkan

Other affiliations: Epoka University
Bio: Özcan Asilkan is an academic researcher from Akdeniz University. The author has contributed to research in topics: Higher education & Fuzzy logic. The author has an hindex of 4, co-authored 19 publications receiving 54 citations. Previous affiliations of Özcan Asilkan include Epoka University.

Papers
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Journal ArticleDOI
TL;DR: Almost all family physicians used smartphone and/or tablet PC during daily practice, and the reason of use was commonly for communication and Internet purposes, but medical apps were perceived mainly positively for receiving medical information via Internet.
Abstract: Rationale, aims and objectives In this study smartphones/tablet PCs and medical application utilization by family physicians and factors concerning the acceptance of medical application in family practice setting have been studied. Methods One hundred seventy-six participants voluntarily agreed to fill out a 27-item questionnaire. Data were analysed with descriptive statistics and eight items (acceptability of utilization of applications) revealed Cronbach's alpha of 0.965 and the factor analysis showed one factor explaining 80.6% of total variance. Results The mean age of respondents was 35.7 [standard deviation (SD) = 8.12; min–max = 24–52], 79 were male (45.9%) and 88 female (51.2%), 56 (32.5%) were single and 113 (65.7%) married, and the mean experience duration as a physician was 11.1 years (SD = 11.1; min–max = 1–28). One hundred sixty-seven (97.1%) had a smartphone and/or tablet PC. Smartphone and/or tablet PC were used since 3.7 (SD = 2.17; min–max = 0–12) years. Sixty-one (35.5%) felt that smartphone and/or tablet PC are very important, 92 (53.5%) important, 2 (1.2%) unimportant and 12 (7%) were undecided about this. One hundred eleven (64.5%) participants had a medical application on the smartphone and 66 (38.4%) on the tablet PC. They used 1.7 (SD = 2.04; min–max = 0–10) medical applications for 1.45 (SD = 2.53; min–max = 0–25) times on average. Eighty respondents (66.7%) used a medical application for any medical problem. Conclusions Almost all family physicians used smartphone and/or tablet PC during daily practice, and the reason of use was commonly for communication and Internet purposes. Usage during working hours was limited, but medical apps were perceived mainly positively for receiving medical information via Internet. Looking at the medical apps’ acceptability scale, participants were in agreement with the security, cost, contents’ quality, ease of use, support, ease of finding, ease of accessing and motivation to use medical applications.

19 citations

Journal ArticleDOI
TL;DR: This paper is providing a heterogeneous cluster ensemble approach to improve the stability of fuzzy cluster analysis by applying different fuzzy clustering algorithms on the datasets obtaining multiple partitions, which in the later stage will be fused into the final consensus matrix.

10 citations

Journal ArticleDOI
Abstract: After the 2001 meeting of the European Ministers of Education held in Prague, higher education institutions in Turkey took serious actions in order to implement the goals of the Bologna Declaration (1999). Arrangements made for the democratization of universities and student participation in the decision‐making process formed one of the predominant actions. The formal point of these arrangements – aimed at student involvement in the university governance process via Student Councils and their representatives, was prescribed by law and forced universities to comply with the process. The present research provides information about the legal arrangements in higher education institutions concerning student involvement in the university decision‐making process and the obstacles met within the course of application. In addition, it presents the findings of an empirical study related to student representation and involvement in governance through the agency of the Student Councils.

9 citations

01 Jan 2009
TL;DR: It has been shown that Artificial Neural Networks can be used successfully to forecast the future prices of the second-hand automobiles.
Abstract: Today, second-hand cars take place among the most attractive durable goods in almost all countries of the world. Current and future market prices of these goods have always been wondered by the consumers. This study has tried to forecast the future prices of the second-hand automobiles using Artificial Neural Networks (ANN) which became a very popular forecast technique in the recent years. The advertisement data gathered from Europe-based second-hand automobiles web sites have been used as the input of the study. The results obtained by Artificial Neural Networks have been compared to those obtained by some Time Series forecasting methods. As a conclusion, it has been shown that Artificial Neural Networks can be used successfully to forecast the future prices of the second-hand automobiles. Artificial Neural Networks, Second Hand Automobile, Forecasting Price.

4 citations

07 Apr 2014
TL;DR: An artificial neural network model has been developed in this study to be able to calculate modal shift using three sources of data obtained from two questionnaire surveys conducted at Akdeniz University campus and a computer model's output (based on shortest route algorithms).
Abstract: Various public transport concepts have been developed to provide solutions to the ever growing problem of traffic in modern times For instance, intelligent subscription bus service is one of them This concept aims to provide a means of transport at near private car comfort as well as at near public transport cost By this means, a shift from other modes of transport, especially private car, to public transport is aimed to encourage use of public transport An artificial neural network model has been developed in this study to be able to calculate modal shift using three sources of data obtained from two questionnaire surveys conducted at Akdeniz University campus and a computer model's output (based on shortest route algorithms) The relationship between the results of the second questionnaire survey and the other data have been entered into Weka and Rapid Miner programs, the accuracy of this machine learning has been calculated and finally the modal shift originated by the intelligent subscription bus services has been estimated The findings have yielded very reliable results which revealed the potential of applying the technique easily to similar problems Keywords: Flexible public transport systems, artificial neural networks, modal shift Normal 0 21 false false false TR JA X-NONE /* Style Definitions */ tableMsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 54pt 0cm 54pt; mso-para-margin:0cm; mso-para-margin-bottom:0001pt; mso-pagination:widow-orphan; font-size:120pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}

4 citations


Cited by
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Journal ArticleDOI
TL;DR: Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively and contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
Abstract: Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of “big data” for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.

211 citations

Journal ArticleDOI
TL;DR: The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.
Abstract: Background: There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success. Objective: The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives. Methods: A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process. Results: The technological factors impacting clinicians’ adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight key themes: workflow related, patient related, policy and regulations, culture or attitude or social influence, monetary factors, evidence base, awareness, and user engagement. These were divided into 41 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them. Conclusions: The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.

120 citations

Journal ArticleDOI
TL;DR: A novel fuzzy clustering ensemble framework based on a new fuzzy diversity measure and a fuzzy quality measure to find the base-clusterings with the best performance and the effectiveness of the proposed approach compared to the state-of-the-art methods in terms of evaluation criteria on various standard datasets is revealed.
Abstract: In spite of some attempts at improving the quality of the clustering ensemble methods, it seems that little research has been devoted to the selection procedure within the fuzzy clustering ensemble. In addition, quality and local diversity of base-clusterings are two important factors in the selection of base-clusterings. Very few of the studies have considered these two factors together for selecting the best fuzzy base-clusterings in the ensemble. We propose a novel fuzzy clustering ensemble framework based on a new fuzzy diversity measure and a fuzzy quality measure to find the base-clusterings with the best performance. Diversity and quality are defined based on the fuzzy normalized mutual information between fuzzy base-clusterings. In our framework, the final clustering of selected base-clusterings is obtained by two types of consensus functions: (1) a fuzzy co-association matrix is constructed from the selected base-clusterings and then, a single traditional clustering such as hierarchical agglomerative clustering is applied as consensus function over the matrix to construct the final clustering. (2) a new graph based fuzzy consensus function. The time complexity of the proposed consensus function is linear in terms of the number of data-objects. Experimental results reveal the effectiveness of the proposed approach compared to the state-of-the-art methods in terms of evaluation criteria on various standard datasets.

46 citations

Journal ArticleDOI
TL;DR: In this article, student participation in university governance is analyzed with the specific aims of identifying the main obstacles to student participation and offering proposals of how to better facilitate student involvement in the functioning of the university.
Abstract: This article focuses on analysing student participation in university governance, with the specific aims of identifying the main obstacles to student participation and offering proposals of how to better facilitate student involvement in the functioning of the university. From student questionnaires, teaching staff interviews and student discussion groups we obtained information regarding the major obstacles to student participation. The methodology employed in this research allows us to compare and contrast the opinions and perceptions of students and teaching staff. Significant differences are identified that highlight the main ways for facilitating change in student participation in the university. The required changes should not only relate to improving the means by which students are informed about ways of participating, but also influence how universities structure participatory processes, the role of the teaching staff and, specifically, the role of coordinators of those managing bodies closest to ...

43 citations

Journal ArticleDOI
TL;DR: A solution was proposed for the traveling salesman problem using the ant colony system and parameter optimization was taken from the Taguchi method and implementation software was developed using the MATLAB program.
Abstract: Owing to its complexity, the traveling salesman problem (TSP) is one of the most intensively studied problems in computational mathematics. The TSP is defined as the provision of minimization of total distance, cost, and duration by visiting the n number of points only once in order to arrive at the starting point. Various heuristic algorithms used in many fields have been developed to solve this problem. In this study, a solution was proposed for the TSP using the ant colony system and parameter optimization was taken from the Taguchi method. The implementation was tested by various data sets in the Traveling Salesman Problem Library and a performance analysis was undertaken. In addition to these, a variance analysis was undertaken in order to identify the effect values of the parameters on the system. Implementation software was developed using the MATLAB program, which has a useful interface and simulation support.

43 citations