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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: International Journal of Web Research
- نوع مقاله: Journal Article
- کلمات کلیدی: Data mining,Social network analysis,Co-word analysis,Scientific map
- چکیده:
- چکیده انگلیسی: Today, due to the large volume of data and the high speed of data production, it is practically impossible to analyze data using traditional methods. Meanwhile, data mining, as one of the most popular topics in the present century, has contributed to the advancement of science and technology in a number of areas. In the recent decade, researchers have made extensive use of data mining to analyze data. One of the most important issues for researchers in this field is to identify common mainstreams in the fields of data mining and to find active research fields in this area for future research. On the other hand, the analysis of social networks in recent years as a suitable tool to study the present and future relationships between the entities of a network structure has attracted the researcher’s scrutiny. In this paper, using the method of co-occurrence analysis of words and analysis of social networks, the scientific structure and map of data mining issues in Iran based on papers indexed during the years 1388 to 1398 in the Civilica database is drawn, and the thematic trend governing research in this area has been reviewed. The results of the analysis show that in the category of data mining, concepts such as clustering, classification, decision tree, and neural network include the largest volume of applications such as data mining in medicine, fraud detection, and customer relationship management have had the greatest use of data mining techniques.
- انتشار مقاله: 18-05-1399
- نویسندگان: Fateme Shahrabi Farahani,Meysam Alavi,Mina Ghasemi,Babak Teimourpour
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Quality of Life,Breast cancer,Iranian women
- چکیده:
- چکیده انگلیسی:
Introduction: Nowadays breast cancer is the most important factor concerning the women’s health which can affect the quality of life (QOL). This study was performed with aim to investigate the QOL and the related factors in Iranian women diagnosed with breast cancer in 2014-2015. Methods: This cross-sectional study was performed on 94 women with breast cancer who were selected by convenience sampling in Mashhad, Iran from 2014-2015. The data were collected through Demographic and Clinical Questionnaire and EORTC QLQ-C30.V3 Standard Questionnaire. Data was analyzed by SPSS software (version 18) and also descriptive statistics and linear regression analysis. Pconsidered statistically significant. Results: The mean of total score for the quality of life was 71.45± 22.28. In the area of the symptoms of disease, the highest score belonged to insomnia (22.73± 14.89) and fatigue (19.81± 14.42). In the functional area, physical and emotional scales accounted for the highest (91.35±9.67) and lowest (78.55±2.84) scores, respectively. The results of multiple regression analysis showed that the variables of age, social status, radiotherapy, and hormone therapy are effective factors in the QOL. Conclusion: Breast cancer can affect the women’s QOL. Therefore, efforts to promote the QOL in breast cancer patients is considered as one of the most important topics in women’s health care. This requires more attention to identify various aspects of life and find effective ways to promote and improve the QOL in these patients.- انتشار مقاله: 04-11-1395
- نویسندگان: Fatemeh Homaee Shandiz,Fatemeh Zahra Karimi,Zahra Khosravi Anbaran,Mahbubeh Abdollahi,Nafiseh Rahimi,Mina Ghasemi
- مشاهده