جستجوی مقالات مرتبط با کلیدواژه "بازیابی اطلاعات" در نشریات گروه "پزشکی"

User interface environments of databases should be designed in such a way that, in addition to facilitating users' information-seeking behavior, they can provide appropriate strategies to solve their problems in the shortest possible time. The user interface allows users to get a proper understanding of the information base and they can take advantage of it. The closer the design of the user interface is to the mental patterns and information-seeking behavior of the users, the more effective and useful it is and the less the user's efforts. Despite the development of medical information technology in the field of user interface design, most medical information systems have not been able to meet users' expectations mainly due to: a lack of awareness of information needs, information behavior of users, and lack of understanding of its nature. This research aims to present a new model for effective information retrieval and increasing the desirability in the design of user interface environments of information databases.

This study is a mixed type with a quantitative and qualitative approach which has been done with the design of combined exploratory methods. In the qualitative part, the research community included expert professors and specialists, and in the quantitative part, specialized and research-oriented PhD students of the basic science fields of Mazandaran University of Medical Sciences. In the qualitative part, 12 people were included in the study with the purposeful sampling method, and with this number of interviews, information saturation occurred. In the quantitative part, stratified random sampling was used and 100 people were included in the study. The required data was collected through content analysis and researcher-developed questionnaires. The data was then analyzed using SPSS software version 22 and inferential statistics (Kolmogorov-Smirnov, Wilcoxon, Mann-Whitney, and structural analysis).

According to the IPMA analysis, the findings of the research showed that among the variables that explain the desirable information-seeking behavior in terms of importance, the highest rank in desirable information-seeking behaviors is related to the dimension of users' position with an emphasis on ability (with a significance coefficient of 0.437 and the lowest is related to the ease of access component (with a significance coefficient of 0.048) and in terms of performance, the highest rating is related to the user interface design dimension with an emphasis on the database efficiency variable (with a performance factor of 57.191) and the lowest was related to the ease component (with a performance factor of 40.793). Also, the proposed model was able to obtain the necessary validity and reliability.

The presented model helps users of database user interface environments so that they can use the basic elements as much as possible to speed up work and save time. Also, the proposed model can provide the necessary ideas to the designers of database environments so that they can implement the appropriate features for better interaction with the databases to facilitate and understand as easily as possible for more users. considering that the proposed model has obtained the necessary validity and reliability, it can be claimed that this model will not only be able to answer the issues raised in the field of searching and retrieving information, but it can be used, criticized, and perfected in future researches as a basis for designing and implementing user interface environments.

The combination of ontology-based retrieval systems leads to the semantic retrieval of words. The aim of this study was to review ontology articles in information retrieval using scientometric techniques.

The present study was conducted using the documentary method and word cluster analysis. The research population comprised 2595 articles indexed in two databases, Scopus and Web of Science, from 2001 to 2023. The data were analyzed using Excel, BibExcel, SPSS 26 and UCINET. VOSviewer was used to draw research maps.

The growth of articles in ontology and information retrieval was low and the annual growth rate averaged 0.11%.Stanford and California universities were the most prolific organizations, contributing to 6 articles, and the field of computer science was the most prolific with 43% of the articles written. The word clustering led to the formation of 4 thematic clusters: semantic retrieval of information, non-human ontology, classification of systems, and role of technology. In addition, there was a positive correlation between science production and centralities (degree centrality 0.323, closeness centrality 0.278, and betweenness centrality 0.447).

The evolution of the words used in the articles has shown that although the growth of article production in this field has increased from the beginning, the development of ontology technologies in information retrieval started with a weak semantic system called information classification, and after the various stages of development, it now uses machine learning to understand user requirements and process information with the help of artificial intelligence.

Methodological validity is one of the aspects of quality. Methodological elements are parts of the text of articles that deal with research methodology. The purpose of this study was to determine the contribution and role of methodological elements in explaining the relationship between evidence and questions.

This semi-experimental study employed a one-group pretest–posttest design. The research population consisted of clinical trial articles included in the meta-analysis of Cochrane systematic review articles. The sampling method employed was purposeful, whereby systematic review articles containing at least 50 related clinical trial articles retrieved by the retrieval system were selected as the research sample.

The results of the paired t-test showed that the difference in the average nDCG score across all four groups was negative at all points of accuracy. The highest average difference (−0.064) was observed for the basic and standard methodological elements in the abstract at accuracy point 10 (the tenth document in the retrieved results), while the lowest average difference (−0.021) was observed for the basic methodological elements in the abstract at the 50th and 70th accuracy points.

The findings of this research showed that methodological elements, whether independently or to expand the abstract, do not affect the ranking of relevance results or may even have a negative effect. In other words, the occurrence of methodological elements in the text or their weighting can reduce relevant results.

The aim of this study was to identify semantic technologies and their importance in information retrieval in Iranian digital library software.

This applied study was descriptively performed via survey method. This paper firstly identified the components of semantic technology through documentary (libraries) method and secondly prepared a checklist on the application of semantic technology in information retrieval in digital library software based on expertschr('39') opinions and Delphi method in three sections of semantic technology architecture, semantic technology tools and semantic technology in information retrieval. Excel and SPSS 25 were used to analyze the data.

The findings have shown that the semantic technology architecture structure with an average of 43%, semantic technology tools with 59% and semantic technology with 41% are very important in digital libraries. Using semantic technologies, digital library users will be able to access the information resources they need more quickly.

As digital libraries are in the early stages of development and this is especially true in developing countries; therefore, this study has provided the checklist in the field of application of semantic technology in information retrieval in digital library software based on existing backgrounds and expertschr('39') opinions. Moreover, the current study has enabled the designers and software developers of digital library software to identify their strengths and weaknesses as well as more familiar with the criteria and components in this field and the importance of each for enjoying them in designing digital library software.

Background and Author-assigned keywords at the end of the abstracts in scientific articles are the words most relevant to the content of the article. They are the main sources for indexing and storing the articles in databases, and help to retrieve related articles. Therefore, any mistake or ambiguity in keywords lead to disruption of both data storage and retrieval processes. This study aimed at investigating the types of errors made in author-assigned keywords of articles in the field of medical education. In this descriptive research, the keywords in 13 journals publishing articles in medical education were studied. Out of 3194 articles reviewed, 10965 entries were extracted. The English and Persian keywords were compared using Excel. In the journals studied, the mistakes associated with keywords were made mainly on not writing the equivalent keywords for English keywords and Persian keywords (70.31%). According to current study, the authors, reviewers, and editors are suggested to pay more attention on keywords to prevent disturbance in storing and retrieving the articles

The rapid growth of information in the Internet and high informational overload has created an important challenge for users in accessing their needed information. Nowadays, query recommendation systems have become a major part of information retrieval systems. One of the applications of these recommendation systems is in medical sciences. Through applying personalization approach, these systems attempt to decrease the problem of informational overload in Web and to accelerate user's medical search.
In this applied and descriptive study, by using the lexical features and search results of queries, we tried to propose a method that helps users to access their desired information in a short time while maintaining the lexical relationship with the original query. The popular k-means algorithm was used to cluster queries. The implementation of the proposed method was done by using java programming language and in NetBeans IDE software.
According to the proposed method, the combined use of the lexical features and search results of queries leads to useful information for detecting similar queries. Since there is a possibility that a query contains multi-meaning words, using search results can be useful in identifying the user’s intent of a query.
Evaluation of the proposed model with the real search log of the Parsijoo search engine indicated the precision rate of 77.4% for this method that in comparison to other methods shows 10% improvement of precision.

Nowadays, the speed of access to information for decision-making is very important. The aim of this study was to evaluate the websites of all Iranian universities of medical sciences with Gtmetrix tool.
This survey study evaluated 49 websites of all Iranian universities of medical sciences with webometrics tools. GTmatrix was used in the assessment of the quality features of websites in these universities.
Finding: The analysis of the data showed that 55% of websites in all Universities of Medical Sciences in Iran have poor and very poor conditions in terms of download speeds. Among 49 websites examined, the performance of download time of Website in Birjand University of Medical Sciences is at A rank according to the indicators of Gtmetrix.
The results showed that the websites of these universities do not have the necessary download speed. Then, it is necessary for managers and web designers to improve the quality of websites through considering the factors affecting the speed of downloading of websites.

Recall and precision are two indicators for evaluating information retrieval system’s efficiency and performance. The aim of the present study was to compare the recall and precision of Iranmedex, Magiran and SID databases for retrieval of scholarly information in the domain of pharmacy.

This work is an analytical study, that, in this was used from comparison method and Direct observation by end user. The population was articles retrieved from the Web sites of Iranmedex, Magiran& SID databases. Data collection tool was checklist that validity was confirmed by experts of LIS. First, Keywords were listed from two numbers 7 & 8 of Twenty-first volume Journal of Behavioral pharmacology, And Keywords associated with this field were Determined by Pharmacy specialists. Ten selected keywords searched in 3 databases. Then retrieved results were refer to Pharmacy specialists for identify relevant records. The obtained data were analyzed with descriptive statistics (frequency), (χ2) and SPSS 11.5 software at the significant level of P<0.05

Retrieved records of Iranmedex database was 615, from Magiran 375 and SID was 116 record. Iranmedex dominated the top positions when comparing relative recall (39%), and SID revealed reliable precision in the output (%55/1). Iranmedex and Magiran database have had more overlap (219 record).

The results are tips for Pharmacy specialists to choose database for retrieval of scholarly information, if recall is important for they, choose Iranmedex and if high precision is important, need to use the SID database.

The aim of this study was to compare the general search engines and specialized radiology databases in radiology image retrieval and ranking them in terms of accuracy, respectively. An analaythical survey was conducted in this applied research. For doing this, 5 disease groups including heart and brain strokes, coronary artery diseases, cancers, cerebral embolism and respiratory diseases that based on “Death Statistics” book had the highest mortality in Iran were selected. Eight keywords were selected. These keywords were searched in the selected general search engines such as Google,Yahoo, Bing and radiology-related search databases i.e. Goldminer, Yottalook, Searching Radiology and Learning Radiology. Then top 10 retrieved images in each search engine were stored and presented to 30 Radiologist in several hospitals by using researcher made tool. Searching Radiology with 113,533(74.3%) retrieved images is in 1st place, the next place belongs to Yottalook with 28,874(18.9%) retrieved images. Goldminer with 10185(6.64%) retrieved images stands in 3rd place and Learning Radiology with 197(0.12%) retrieved images stands in the last place. In terms of accuracy, due to significant differences between databases and search engines, Google with 95% Precision is in 1st place. The next one is Yahoo with 92%, Bing with 89.1% is allocated with the next rank. 4th place belongs to Searching Radiology whit Precision rate 87.8%, Goldminer with 83.3% stands in 5th place, Yottalook with 81.6% is in 6th place and Learning Radiology with 65% accuracy rate stands in the last position. Google, among general search engines and Searching Radiology among specialized radiology databases had the highest accuracy. Given the significant level to get 0.00 and that significance accuracy differences between general search engines and specialized radiology databases, it seems general search engines to be more accurately than specialized radiology databases.

Some of the main questions which can be of importance for those researchers who intend to perform a systematic review in a field of science are: ‘What databases should I use for my review? ’; ‘Do all these databases have the same value? ’; and ‘Which sources retrieved the highest of relevant references? ’. The main aim of this work was the identification of the best database for retrieving information on telemedicine by comparing the percentage of relevant references among the total literature available that can be retrieved from each database. Databases (Cumulative Index to Nursing and Allied Health Literature، PubMed، Scopus، and Web of Science) were searched on the topic of telemedicine and education، telemedicine and cost benefit، and also telemedicine and patient satisfaction. Results of analysis and accuracy coefficient، sensitivity، uniqueness، and the overlap of databases were calculated. The number of studies retrieved from each database varied for each topic. PubMed with 50. 7% in accuracy and 61. 4% in sensitivity was the most effective database for retrieving information on the abovementioned topics. Databases with the highest proportion of unique records in retrieved relevant references varied between the 38% for PubMed to 3% for CINAHL. The largest overlap in the four databases was between PubMed and the Web of Science (18. 6%). Few papers (0. 7%) were indexed by all four databases. Our analysis suggests that information scientists، librarians، and researchers who want to access the best references on telemedicine should start by searching PubMed. Searching PubMed، Scopus، and Web of Science، respectively، will provide about 90% of the relevant available literature.

The medical image as a source of non-textual information has an important role in the field of medicine. Since the quality of life is directly related to health، employing this type of information is effective in improving the practice of health professionals. This study was aimed to survey medical image retrieval in the Web from the perspective of experts in medical sciences. This qualitative research study was conducted by means of a semi-structured interview with 25 medical experts. The data were analyzed on the basis of the grounded theory approach. According to experts’ opinion the following reasons were responsible for the retrieval of medical images on the Web: educational، research، and medical applications of images، instrumental and training role of images، benefits، importance and special characteristics of medical images، and motives such as personal، educational and research interests. Participants of this study used non-technical search engines and technical resources such as medical databases to retrieve these images on the Web. Their methods of recovery consist of browsing، accidental retrieval، purposeless and purposeful search، and diverse search. Experts have mentioned individual، organizational، systemic and technical issues as the most important problems in the area of medical image retrieval. The results showed that image retrieval is important for the experts. Despite numerous difficulties in retrieving images، the image is still the best type of information in the medical profession. To improve physicians’ access to and retrieval of medical images، it is recommended to hold training courses for search strategies and retrieval of images.

Information seeking skills has an important role in independent searching and enables one to have a strong research. The aim of this study was to investigate information seeking skills among the residents of Isfahan University of Medical Sciences. It was a descriptive study. Morgan sampling table used to select 248 residents from 659 residents of Isfahan University of Medical Sciences. The data were collected using a researcher-made questionnaire which was validated by expert and its reliability was tested with Cronbach’s alpha (0. 83). Only 3. 9% of the residents attended in Iranian National Medical Digital Library (INLM) workshop and only 16. 2% of them were registered to INLM. 38. 3% of them were familiar with up-to-date database and 25. 8% of them used it. 48. 4% of them used «advanced search». 49. 2% of them used «bullion operations» and only 13. 3% of them were familiar with databases’ facilities to manage their search results. Only 5. 5% of them always evaluated the retrieved information. Information seeking skills of residents was very low. Attending in workshops on database and information literacy can help them to improve their skills and have better research.

This study investigates the effective factors and usage of subscribed databases by faculty members of Tabriz University of Medical Sciences in the academic year of 2006-7. A sample of 129 faculty members was randomly selected. The size of sample was determined by Cochrane's formula. Data were collected using a researcher-made questionnaire. The questionnaire validity was measured by testing on a small group of faculty members in pilot study and consulting some information technology specialists. The reliability of questionnaire was verified by Cronbach's α. Findings revealed that Science Direct had the highest rate of usage compared to other databases while Willey was used the least. The results also showed that the main reason for low rate of database usage was related to low quality of information provided by databases and second to that was the lack of useful databases. It seems necessary to provide workshops and instruction materials for the faculty member to improve the usage of databases, or reconsider subscription for those databases with low rate of usage.

Library users expect fast and direct access to the information they need and the variety of user's searching behavior have lead to new library services. Therefore, in order to provide the correct data to the library users, librarians should know the student's searching motives and aims, the type and nature of resources they search and methods and instruments they use to access the data. This study investigates the search needs of the students in the first and last semester of the faculty of management and medical information sciences in 2006. This is an analytical survey. The study population included 94 students (54 in the first semester and 40 in the last semester) of the faculty of management and medical information sciences of Isfahan in 3 undergraduate majors. Data were collected using a researcher-made questionnaire. The validity was approved by professors and professionals and a pilot study in the sample size which was equal to 88%. The reliability was checked by Alfa Cronbach. Data were analyzed by Excell software and quantitative statistics such as percentage and frequency were used. The findings showed that the searching needs of the students are different in various semesters of their study period and the main reason for not using the library resources correctly is lack of knowledge and education about it. It is recommended to educate the university students how to use the electronic resources for a faster and better access to data they need. Also, communication between professors and librarians can help development of electronic databases of the library as well as improvement of the student's literacy of the library usage.