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Showing 3 results for Mansouri
The Validity Of Researchers Self Evaluation About Their Own Activities In Knowledge Translation(KT)
Hamid Asayesh , Mostafa Qorbani , Afsaneh Borghei , Aziz Rezapour , Younes Mohammadi , Morteza Mansourian , Fereydoon Jahahgir , Mehdi Noroozi ,
Volume 7, Issue 5 (1-2014)
Abstract

Background and Aim: In several KT plans the researcher self evaluation is basis of researchers KT activities measurement so the aim of this study was the validity of researchers self assessment about their own activities in KT.

Materials and Methods: The valid and reliable questionnaire was filled by 40 Golestan University of Medical Sciences researchers. In this questionnaire researchers were asked to give a score from 0 to 10 for their own activities in KT in a finished special project. Statistical analysis was performed using pair T test and Pearson correlation coefficient. The linear regression was used for assessing the effect of influential factors on KT self evaluation and activity scores.

Results: The mean score of researchers KT activity and self evaluation was 3.52 and 5.47 respectively which this difference was statistically significant (P<0.01). The correlation coefficient between researchers' activity and self evaluation score was 0.73 which is an indicator of good correlation. The influential factors on researchers' KT self evaluation score in regression model was male gender, having administrative responsibility and percent of total time allocated to research and the influential factors on researchers' KT activities score in regression model was male gender, type of research (clinical sciences research compared to basic sciences) and percent of total time allocated to research.

Conclusion : The results of this study shows that researchers overestimate their own activities in KT so adopting strategies like education about KT concepts and activities for increasing researchers knowledge and perception can fill research and action gap.


Analysis of the Status of Research Outputs in the Field of Knowledge Management in the Health and Healthcare Field
Mahnaz Kamani, Nooshin Soleymani Asl, Ali Mansouri,
Volume 19, Issue 3 (9-2025)
Abstract
Background and Aim: The expansion of information technology has led to the production of increasing knowledge, which may be a part of this knowledge that is hidden, so the role of knowledge management is very important to reveal knowledge. On the other hand, in health research, which is basically based on the needs of patients, their caregivers, and specialists, knowledge management is of great importance for the quality of their services. The aim of the current research is to analyze the status of research outputs in the field of knowledge management in the health sector.
Materials and Methods: Based on its nature, the present study is descriptive, quantitative, and applied, and was conducted using a lexical co-occurrence scientometric technique. The research community includes 2487 sources, which are the results of all research outputs in the field of knowledge management in the health sector, which are indexed in the Web of Science database. The analysis of the research questions was done through Excel, BibExcel, and VOSviewer software.
Results: According to research findings, the continents of Europe, Asia, and North America, respectively, have had the highest contributions to research output in the field of knowledge management in the health and healthcare sector. Among individual countries, the United States, the United Kingdom, and Canada demonstrated the most significant activity in this area, while Iran ranked 17th. Among the United Nations Sustainable Development Goals (SDGs), the goals of Good Health and Well-being, Industry, Innovation and Infrastructure, and Quality Education have received the most attention in knowledge management research related to health and healthcare. The keyword co-occurrence map highlights the prominence of terms such as “knowledge management,” “healthcare,” and “electronic health records.” The identified thematic clusters also underscore the significance of three key domains: organizational performance, information management, and health information systems.
Conclusion: In developed countries and the first level of the world, attention to knowledge management in the field of health and health is more prominent. Also, in order to achieve a high level in the field of health and health as an important and effective criterion in most development sectors, it is necessary to address other sustainable development goals, especially by establishing systems Knowledge management in the field of health helped to achieve important goals such as eradicating poverty and hunger and reducing inequalities.

Case-Based Reasoning: An Applied Technique for Designing Intelligent System for the Differential Diagnosis of Oral Diseases
Reza Safdari, Arash Mansourian, Shahram Tahmasebian, Niloofar Mohammadzadeh, Hamideh Ehtesham,
Volume 19, Issue 6 (3-2026)
Abstract
Background and Aim: Artificial intelligence-based systems can facilitate data management and interpretation in various dental specialties and can be used as auxiliary tools in diagnosis and education. Case-based reasoning is a promising artificial intelligence method for implementing decision support systems in medical sciences. In the current research, this technique has been used to design an intelligent system for the differential diagnosis of oral diseases.
Materials and Methods: This research is a developmental study and is applied in terms of results. To create a database of cases, patient data was collected by referring to the specialized polyclinic of the Faculty of Dentistry at Tehran University of Medical Sciences and through clinical interviews. The [feature-value] collection was used to display the cases. The weight of the features was determined through a specialized Delphi survey conducted at the national level and as an online study. The determined weights were stored in the case database and used as similarity evaluation parameters. Then, the similarity index was calculated for each case.
Results: The intelligent system designed in this research has been developed based on web technologies. Problem-solving in the case-based reasoning method is done in a cycle and includes four main stages: recovery, reuse, review, and maintenance. The input parameters of the system include clinical indicators, paraclinical indicators, historical data, and management data affecting the diagnosis process. The system provides a prioritized list of differential diagnoses of oral diseases across six main axes as output including Ulcerative, vesicular, and bullous lesions, Red and white lesions of the oral mucosa, Pigmented lesions of the oral mucosa, Benign lesions of the oral cavity, Oral cancer, Salivary gland diseases.
Conclusion: The development of the system utilizing case-based reasoning techniques and clinical data processing has the potential to assist dentists in achieving differential diagnosis across six main areas of oral diseases.

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