F Nanbakhsh, H Mohaddesi, A Amirai, M Haji Shafiha, F Broomand, F Bahadori, S Gol Mohamadlo,
Volume 5, Issue 1 (26 2011)
Abstract
Background and Aim: Elderly is a physiological phenomenon with many inevitable complications, which their effects significantly can be reduced by individual's life style. Therefore in this study we have evaluated the impact of subjects' knowledge on their lifestyle.
Materials and Methods: This study was a semi experimental and interventional one that has been conducted in Urmia University of Medical Science. Thus 200 women between 54 to 80 years old were enrolled in this study and their knowledge, attitude and behavior toward a healthy lifestyle was surveyed before and 6 months after giving them a proper education. Subsequently the required information gathered from questionnaires and the data analyzed by mcmanaman paired and t paired tests. In this study all data analyzed by SPSS software and the P value lessu than 0.05 recognized to be statistically significant.
Results: The scores of before and 6 months after subjects get the required education were 29.165.86 vs. 34.266.32 respectively (P<0.001). This significant difference demonstrates the positive impact of life style education on attitude, behavior and knowledge of individuals in respect to their lifestyle. These results were even more magnificent comparing the literate and illiterate subjects.
Conclusion: Based on our study we conclude that education has an important positive role in all elder groups improving their lifestyle.
Fatemeh Bahador, Azam Sabahi, Somayeh Paydar, Fatemeh Zangooei Seno,
Volume 16, Issue 6 (Feb 2023)
Abstract
Background and Aim: Today along with information technology development, telemedicine technology has expanded dramatically. Sinse telemedicine technology relies on data transmission, it is essential to pay attention to issues such as network security, confidentiality, and privacy of patients. Therefore, the aim of this study was to determine the importance of information security requirements in telemedicine networks based on managers and employees of the information technology unit of the University and teaching hospitals of Birjand city
Materials and Methods: This descriptive cross-sectional study was conducted in year 2021. The research population was The managers and employees of the information technology unit of the university and teaching hospitals of Birjand city (40 people), who were surveyed by the census. The study tool was a researcher-made questionnaire that confirmed its validity by faculty members and experts, and its reliability was calculated with Cronbach’s alpha (0.83). After collecting the data, they were entered into the SPSS software and were analyzed using descriptive statistics.
Results: The results showed that the security requirement related to information transportation is more important than other requirements. Also in the field of human resources, providing detailed documentation and training guides for users of the systems was with an average of (4.47). In the medical diagnosis equipment field, telemedicine network systems are equipped with emergency power was with an average of (4.72). In the storage and access to information context, installing antiviruses and anti-malware on all systems was with an average of (4.75), and also in the field of information transfer, encryption of important and sensitive files and information was with an average of (4.69) were the most important security needs.
Conclusions: As the results showed, security requirements related to information transfer have more importance than other requirements; Initially, information security can be guaranteed by creating security policies, updating and monitoring their implementation, as well as training employees. However, in order to transfer sensitive medical information, encryption and qualification verification methods, secure information transfer protocols, virtual and private networks (VPN) and other new technologies can be used in this field. Of course, necessary preparations should be made to create appropriate technical infrastructure for the implementation of security policies in information transmission.
Fatemeh Bahador, Azam Sabahi, Samaneh Jalali, Fatemeh Ameri,
Volume 16, Issue 6 (Feb 2023)
Abstract
Background and Aim: Diabetes is one of the most common metabolic diseases in Iran and the fifth leading cause of death all over the world. Its spread around the world has created new methods in biomedical research, including artificial intelligence. The present study was carried out to review the studies conducted in the area of artificial intelligence and diabetes in Iran.
Materials and Methods: This study was carried out using a systematic review method. Valid domestic databases, including Irandoc, Magiran, Sid and Google Scholar search engine, were reviewed using the keywords of artificial intelligence and diabetes in Persian both individually and in a combined manner without time limitation until June 20, 2021. A total number of 7495 articles were retrieved, which were screened in different stages (exclusion of duplicates (1824), title and summary of the articles (5884) and full text (30) and finally 20 articles that met the criteria desired by the researchers were carefully reviewed.
Results: Among the retrieved articles, 20 articles met the inclusion criteria, of which 16 articles dealt with methods based on artificial intelligence and 4 articles dealt with the design of new systems based on artificial intelligence. Also, 10 articles examined the role of artificial intelligence in prediction, 8 articles in diagnosis, and 2 articles dealt with the control and management of diabetes. Most of the articles were related to the use of data mining methods such as artificial neural network, decision tree, etc. (16 articles). Some studies also evaluated and compared artificial intelligence methods on application, accuracy and the sensitivity of artificial intelligence in diagnosing and predicting diabetes (10 studies).
Conclusion: A systematic review of articles revealed that the use of data mining methods for diabetes management in Iran has been associated with good progress, but there is a need to design artificial intelligence systems and algorithms and more measures should be taken in the area of diabetes control and management.
Reza Dehkhodaei, Mazyar Karamali, Mohammad Mohammadian, Mohammadkarim Bahadori, Mohsen Abbasifarajzadeh,
Volume 17, Issue 6 (2-2024)
Abstract
Background and Aim: Considering the importance of knowledge management in the current era and the emphasis on the implementation of knowledge management in the health system in the knowledge management system of the Ministry of Health, Treatment and Medical Education, and since it is one of the first steps in the implementation of knowledge management, Drawing the knowledge tree of the organization, the purpose of the current research is to review the process of publishing the knowledge tree and examine it in the field of health.
Materials and Methods: The current research is a type of applied and descriptive review study that was carried out with the method of scientometrics and co-occurrence analysis of keywords. For this purpose, the term “Knowledge tree” OR “knowledge trees” was searched in Scopus reference database. For data analysis, the analyzes provided by the database itself were used, and VOSviewer software was used to visualize the data.
Results: The growth of scientific productions related to the field of the tree of knowledge in general in the mentioned base has started since 1979 and has had a growing trend until 2023. In the field of knowledge tree, among the authors Yang, Y, among the organizations, machine intelligence institute, iona college, and among the countries, China, America, and England have been at the top of the most productive in this field. Among the subjects, the most related articles are primarily related to the field of computer science (32.2 percent) and then to the field of engineering (22.1 percent) and mathematics (10.1 percent), which is significant. that medicine is in the sixth place and this is a sign of the weakness of producing resources in this field and the clustering resulting from the co-occurrence of keywords led to the identification of five clusters respectively with the titles of data mining and information processing, artificial intelligence and expert systems. , knowledge structure and decision support systems, semantics and knowledge representation, and finally learning and teaching systems.
Conclusion: The study of the thematic structure of scientific productions in the field of Knowledge Tree showed that the field of health has a weakness in the production of resources in this field. Therefore, it is necessary for future researches to pay special attention to the development and explanation of this concept and modeling its drawing, especially in the health system, in order to identify and prevent diseases.
