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:: Volume 17, Number 2 (8-2015) ::
2015, 17(2): 97-104 Back to browse issues page
The Precision and Recall of General Search Engines in Retreival of Images Related to Endocrine Diseases
Dr Nadjla Hariri, Zahra Emami *, Dr Mojtaba Malek
PhD Student knowledge and information science Tehran, Iran. Firouzgar alley, Valadi St, Behafarin St, Karimkhan Ave, Vali-asr Sq, Tehran, Iran , zemami64@gmail.com
Abstract:   (2799 Views)

Introduction: This research aimed at determining and comparing the precision and recall of general search engines to retrieve images of important diseases in the field of endocrinology. Materials and Methods: An analaytical survey was conducted in this applied research, for which 50 keywords in the field of 5 endocrine diseases were selected, and the 30 top images retrieved by each search engine were stored and analyzed, using precision and recall measurement formulas and excel software. Results: This research show that Google search engine has the most percision (35%) followed by the Bing and Yahoo search engines. Images retrieved for adrenal diseases had the most percision (42%) in google while it was (16%) in yahoo. The Bing search engine had the most recall (77%), followed by the google and yahoo search engines. Diabetes mellitus had the most recall (97%) in the google and bing search engines. Adrenal diseases had the least recall (30%) using yahoo search engine. Conclusion: Results show that Google and bing search engines were in competition with each other and professionals of endocrinology and other researchers can use these search engines, Google and bing in particular, to retrieve the best medical images. Librarians also can use and recommend these two search engines to related professionals for retrieving medical images of adrenal, pituitary, thyroid, diabetes and para-thyroid diseases.

Keywords: Medical Information Storage and Retrieval, Medical Illustration, Precision, Recall, Search Engine
Full-Text [PDF 298 kb]   (662 Downloads)    
Type of Study: Original | Subject: Endocrinology
Received: 2014/08/7 | Accepted: 2015/04/12 | Published: 2015/07/26
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Hariri N, Emami Z, Malek M. The Precision and Recall of General Search Engines in Retreival of Images Related to Endocrine Diseases . Iranian Journal of Endocrinology and Metabolism. 2015; 17 (2) :97-104
URL: http://ijem.sbmu.ac.ir/article-1-1779-en.html
Volume 17, Number 2 (8-2015) Back to browse issues page
مجله ی غدد درون‌ریز و متابولیسم ایران، دو ماهنامه  پژوهشی مرکز تحقیقات غدد درون‌ریز و متابولیسم، Iranian Journal of Endocrinology and Metabolism
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