Showing 3 results for Systematic Review
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.
Jamileh Nateghifar, Soraya Ziaei, Esmat Momeni, Faezeh Delghandi,
Volume 8, Issue 4 (2-2022)
Abstract
Background and Aim: The aim was to identify the targeted search, work duty, cultural and social-Organizational dimensions of information retrieval contexts using the Ingwersen and Jarvelin framework.
Method: Content analysis and systematic review of articles between 1991 and 2021(1371 – 1400) in domestic and foreign databases steered via: Scopus, Science Direct, Emerald, ProQuest, Eric, Comprehensive Humanities Portal, Noormags, Magiran, SED, and Civilica. Six steps including: Identifying keywords; retrieving Ingwersen and Jarvelin; Selection of the article by subject matter and validity of the sources; Search the background and extract a list of related articles; Prepare final articles and; Open coding were completed. Data collection was based on keywords extraction and texts information. Population, information sources, and validity of the results were guaranteed by the systematic classification process, based on past researches.
Findings: Keywords related to the dimensions of information system substances and retrieval of Ingwersen and Jarvelin was identified among 53 out of 3048 articles. Dimensions, criteria and open codes of identified matters, information retrieval context including: Comprehensiveness; Obstacle; Effectiveness; Information and process quality; Targeted search context includes; usability; Information and process quality. Task context includes: Information quality and work process / results. Cultural and social-organizational context including: socio-cognitive relations; The quality of the task result.
Conclusion: Real information is the result of human understanding of data sources during the process of interaction, communication and information. Interactive approach helps to understand human information behavior. Equally, interactive information retrieval provides theoretical framework for understanding its nature and analysis by considering the dimensions of the contexts.
Dr Shahnaz Khademizadeh, Mrs Zeinab Mohammadi,
Volume 9, Issue 2 (9-2022)
Abstract
Purpose: Study aimed to identify the applications of data mining in the provision of services, collection and management of digital libraries.
Methodology: This is an applied study in terms of purpose and in terms of method is qualitative research that have been done by systematic review method. For this purpose, articles have been obtained by searching databases of Springer, Emerald, ProQuest, Web of Science, Google Scholar, Science Direct, and Semantic Scholar.
Articles published between 2000 and 2021 have been scrutinized. The systematic review model of Kitchenham and Charter (2007) was surveyed. According to the inclusion criteria, 1296 articles have been extracted after initial refinement, and among them, 77 articles related to the subject have been identified by reviewing the titles of articles and entered the final review by reviewing the full text. In conclusion, 29 articles were chosen for final analysis. The Qualitative content- coding method was used for data analysis and qualitative analysis was performed by two coders. The agreement of the evaluators based on the formula of Miles and Haberman for the performed analyzes, 78.5 was obtained.
Findings: Based on the results of qualitative analysis, 74 basic, 13 organizing and 3 comprehensive themes of "digital services,” “digital library management" and "digital collection" have been identified, which in total define the application of data mining in digital libraries represented.
Conclusion: Using data mining techniques in digital libraries, a variety of information can be stored seamlessly in different classes so that the end user of the information could meet their information needs in the shortest possible time. On the other hand, libraries can provide more useful resources by analyzing their users' information interests, and this can be considered a turning point in situations where libraries are facing financial difficulties.
