Showing 2 results for Akbarnejad
Reza Akbarnejad, Maryam Okhovati, Kambiz Bahaadinbeigy, Shahram Sedghi,
Volume 1, Issue 2 (7-2014)
Abstract
Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval systems field necessary. The objective of this study was to conduct a systematic review of papers on medical image retrieval systems appeared between 2000 and 2011.
Method: The major scientific databases (Medline, Scopus, Webof Knowledge (ISI), and Google Scholar) were searched, using standard keywords in English between 2000 and 2011. All papers reviewed using standard critical assessment and grading and papers with more than half of the quality scores were considered as qualified to enter to the next stage. Then, the data in selected studies were extracted and classified.
Results: Eighty sixreviewed papers were classified into 3 categories. The first category introduced new medical image retrieval systems (40%) and the second category presented a new framework for the major medical image retrieval systems (45%) and the last category was about medical image retrieval systems evaluation (15%). However, the growth rate was increasing during the period and the most papers published in 2009. The CBIR systems were used more (66%) and then hybrid systems (20%) respectively.
Conclusion: Applying medical image retrieval systems with Decision Support Systems (DSS) and other information and computer technologies can help clinicians to present a better service and can help them in diagnosis as well. Meanwhile, these systems can be very useful in education and research, the medical image retrieval systems can be more successful if they are designed for a specific field and based on new and modern image features.
Davoud Haseli, Akram Taghipour, Mohammad Reza Esmaili Givi, Reza Akbarnejad,
Volume 7, Issue 4 (3-2021)
Abstract
Purpose: The purpose is to classify the components of SERVQUAL services quality in public libraries based on Kano's customer satisfaction model, prioritize them based on the Asymmetric Impact-Performance Analysis and, determining the classification of SERVQUAL components according to users’ groups.
Methodology: This is an applied descriptive survey. Population included active members aged 15 and older in the five public libraries of Qaemshahr, Iran. Stratified random sampling was used. Instruments included customer satisfaction and SERVQUAL questionnaires. Multiple regression analysis conducted, creating two Dummy Variables of penalty and reward. SERVQUAL components were classified into three groups of: Basic, performance and excitement services. Asymmetric Impact-Performance Analysis on overall users’ satisfaction was calculated.
Findings: Shows that accountability features of the group of basic services with high-performance, characteristics of responsiveness in the group of performance services with low-performance, and the three characteristics of physical dimensions with low performance, reliability and empathy, and attention with high-performance are in the group of excitement services. Prioritization features identified increasing and maintaining level of performance of: 1) responsiveness; 2) physical dimension; 3) responsibility; 4) reliability; and 5) empathy and attention. Moreover, demographic features exhibited that women were more satisfied. Age, education, and history of using the library has increased users' satisfaction. With the surge of the level of users' satisfaction with the physical dimensions and reliability has increased then the level of satisfaction with empathy and attention has decreased.
Conclusion: This study was first to enter the literature of nonlinear analysis of users' satisfaction by Kano's model and Asymmetric Impact-Performance Analysis measuring service quality of public libraries. Nonlinear analysis enabled the determination of priority of actions based on positive/negative performance compared to linear regression coefficient. Also, disclosed the variation of level of satisfaction of diverse groups of users in terms of gender, age, education and history of use.
